A curated collection of research on controlling text-to-image diffusion models with novel conditions, including personalization, spatial control, and multimodal generation. Recent entries also cover control of flow-matching image models, preference-based personalization, and studies of controllability.
Our survey, Controllable Generation with Text-to-Image Diffusion Models: A Survey, is published in IEEE TPAMI, volume 48, issue 4, pages 4771–4791, April 2026.
Statistics count each paper once, including papers listed in multiple categories. Years use the first arXiv submission date, with the publication or announced conference year used for papers without an identified arXiv record. Paper-level data · Counts and methodology
Taxonomy illustration from the 2024 collection.
If you find value in our survey paper or curated collection, please consider citing our work and starring our repo to support us.
@article{cao2026controllable,
title={Controllable Generation With Text-to-Image Diffusion Models: A Survey},
author={Pu Cao and Feng Zhou and Qing Song and Lu Yang},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={48},
number={4},
pages={4771--4791},
year={2026},
doi={10.1109/TPAMI.2025.3646548}
}
Suggest a paper or a metadata correction through an issue. Include the following information so maintainers can verify and classify the entry:
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- Generation with Specific Condition
- Generation with Multiple Conditions
- Universal Controllable Generation
- Analysis and Evaluation
MorphSIG: Subject-Driven Image Generation via Decoupled Anchoring and Feature Transport.
Hailong Yan, Yongrui Zhang, Xiangtao Zhang, Le Zhang.
NeurIPS 2026 (accepted). [Paper] [arXiv]
ReCoG: Relational Concept Graph for Training-Free Personalization.
Changseon Yu, Hyeokjun Kweon.
NeurIPS 2026 (accepted). [Paper] [arXiv]
Diffu-LoRA: A Novel Low-Rank Adaptation for Personalized Diffusion Models.
Tianjing Li, Wei Zhu.
arXiv 2026. [Paper]
Disentangling Dual Image References in Frequency Aware Diffusion Models for Personalized Generation.
Haipeng Liu, Yang Wang, Meng Wang.
NeurIPS 2026 (accepted). [Paper] [arXiv]
RefDiT: Local Attribute Guidance in Reference-Based Image Generation.
Rameshwar Mishra, Srikrishna Karanam, A V Subramanyam.
arXiv 2026. [Paper]
CRAFT: Constrained Reward via Attention Fine-Tuning for Subject Personalization without Composed Targets.
Jihun Park, Kyoungmin Lee, Jongmin Gim, Hyeonseo Jo, Jaeyeul Kim, Han Zou, Zhenpeng Zhan, Yan Zhang, Sunghoon Im.
arXiv 2026. [Paper]
In-Loop Model Adaptation with Coupled Latent-Noise Guidance for High-Fidelity Subject-Driven Text-to-Image Generation.
Yushun Tang, Weiming Chen, Siyi Liu, Yi Zhang, Feng Wu, Zhihai He.
arXiv 2026. [Paper]
TreeAdapter: Hierarchical Taxonomy-Guided Adapter Composition for Fine-Grained Species Image Generation.
Yuze Sun, Zhongjie Duan, Yingda Chen.
arXiv 2026. [Paper]
From Open Loop to Closed Loop: A Test-Time Iterative Optimization Framework for Reference-Consistent Image Generation.
Baixuan Zhao, Xinyu Zhang, Huayu Zheng, Shuaicheng Liu, Xiongkuo Min, Guangtao Zhai, Xiaohong Liu.
arXiv 2026. [Paper]
LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models.
Marian Lupascu, Sebastian Ripa, Mihai Trascau, Mariana-Iuliana Georgescu, Ionut Mironica.
arXiv 2026. [Paper]
Decoupled Guidance: Disentangling Subject and Context Pathways in Text-to-Image Personalization.
Seongmin Kim, Kyucheol Shin, Heesun Jung, Jinseo Kim, Sungyong Baik.
arXiv 2026. [Paper]
HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes.
Guoqiu Li, Jin Song, Yiyun Fei.
AAAI 2025. [Paper] [arXiv]
Keep The Essentials: Efficient Reference Conditioned Generation via Token Dropping.
Rishubh Parihar, Ayush Raina, R. Venkatesh Babu, Or Patashnik.
arXiv 2026. [Paper]
Redirecting the Flow: Image Customization through Attention Distribution Shift.
Jie Li, Suorong Yang, Jian Zhao, Furao Shen.
arXiv 2026. [Paper]
Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization.
Liyuan Ma, Xueji Fang, Guo-Jun Qi.
ACM MM 2024. [Paper] [arXiv]
Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation.
Shuhong Zheng, Aashish Kumar Misraa, Yu-Teng Li, Yu-Jhe Li, Igor Gilitschenski.
arXiv 2026. [Paper]
SwiftPie: Lightning-fast Subject-driven Image Personalization via One step Diffusion.
Huy Duong, Trong-Tung Nguyen, Cuong Pham, Anh Tran, Khoi Nguyen, Minh Hoai.
arXiv 2026. [Paper]
SEAL: Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset.
Changhyun Roh, Yonghyun Jeong, Jonghyun Lee, Chanho Eom, Jihyong Oh.
arXiv 2026. [Paper]
Disentangling to Re-couple: Resolving the Similarity-Controllability Paradox in Subject-Driven Text-to-Image Generation.
Shuang Li, Chao Deng, Hang Chen, Liqun Liu, Zhenyu Hu, Te Cao, Mengge Xue, Yuan Chen, Peng Shu, Huan Yu, Jie Jiang.
CVPR 2026. [Paper] [arXiv]
Zero-Shot Personalization of Objects via Textual Inversion.
Aniket Roy, Maitreya Suin, Rama Chellappa.
arXiv 2026. [Paper]
Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation.
Donald Shenaj, Federico Errica, Antonio Carta.
arXiv 2026. [Paper]
Leveraging Cross-Modal Knowledge Transfer for Knowledge-Aware Concept Customization.
Chenyang Zhu, Hongxiang Li, Xiu Li, Long Chen.
ECCV 2026. [Paper] [arXiv]
PureCC: Pure Learning for Text-to-Image Concept Customization.
Zhichao Liao, Xiaole Xian, Qingyu Li, Wenyu Qin, Meng Wang, Weicheng Xie, Siyang Song, Pingfa Feng, Long Zeng, Liang Pan.
CVPR 2026. [Paper] [arXiv]
FlowFixer: Towards Detail-Preserving Subject-Driven Generation.
Jinyoung Jun, Won-Dong Jang, Wenbin Ouyang, Raghudeep Gadde, Jungbeom Lee.
CVPR 2026. [Paper] [arXiv]
ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token Optimization.
Minseo Kim, Minchan Kwon, Dongyeun Lee, Yunho Jeon, Junmo Kim.
CVPR 2026. [Paper] [arXiv]
Inject Where It Matters: Training-Free Spatially-Adaptive Identity Preservation for Text-to-Image Personalization.
Guandong Li, Mengxia Ye.
arXiv 2026. [Paper]
Unified Personalized Understanding, Generating and Editing.
Yu Zhong, Tianwei Lin, Ruike Zhu, Yuqian Yuan, Haoyu Zheng, Liang Liang, Wenqiao Zhang, Feifei Shao, Haoyuan Li, Wanggui He, Hao Jiang, Yueting Zhuang.
CVPR 2026. [Paper] [arXiv]
Unified Customized Generation by Disentangled Reward Modeling.
Shaojin Wu, Mengqi Huang, Yufeng Cheng, Wenxu Wu, Jiahe Tian, Yiming Luo, Fei Ding, Qian He.
CVPR 2026. [Paper]
Consis-GCPO: Consistency-Preserving Group Causal Preference Optimization for Vision Customization.
Qiaoqiao Jin, Dong She, Siming Fu, Hualiang Wang, weihao zhou, Jidong Jiang.
ICLR 2026. [Paper]
Boost the Identity-Preserving Embedding for Consistent Visual Generation.
Zixun Xia, Kai Wang, Shuyu Guo, Boqian Li, Jian Yang, Yaxing Wang.
ICML 2026. [Paper]
TOPA: Mitigating Concept Dominance in Diffusion Personalization via Target-Oriented Perturbation Augmentation.
Jiayou Lu, Mingzhi Lyu, Junfeng Huang, Wai-Kin Adams Kong.
ECCV 2026. [Paper]
Beyond Pixel Mimicry: Disentangled Self-Similarity Rewards for Diverse Subject-Driven Generation.
Qian Wang, Zhenyu Li, Abdelrahman Eldesokey, Peter Wonka.
ECCV 2026. [Paper]
Toward Semantically-Consistent Tuning-Free Customization for Rectified Flow Transformers.
Jian Jin, Kai Zhang, Zhenyong Fu, Jian Yang.
NeurIPS 2026 (accepted). [Paper]
WaveletLoRA: Frequency-Aware Content-Style Decomposition for Personalized Image Generation.
Peiyao Wang, Jiahui Sun, Weining Wang, Jing Liu.
NeurIPS 2026 (accepted). [Paper]
Identifying and Mitigating Diversity Collapse in Zero-Shot Personalization with I2I Editing Models.
Uichan Lee, Jongeon Baek, Sangheum Hwang.
NeurIPS 2026 (accepted). [Paper]
Where and When Identity Forms: Identity-Vital Attention Redistribution for Training-Free Subject-Driven Generation.
Luan Thanh Trinh, Atsuki Osanai, Kenji Doi.
NeurIPS 2026 (accepted). [Paper]
Continuous Personalized Diffusion Model via Spinor-Component Forward Geometry.
GeonWoo Jeong, SEUNG HUN OH, Sang Beom Chu, WONJUN KIM, Bokyoon Na.
NeurIPS 2026 (accepted). [Paper]
Mix-Opt: Mixed Optimization for Memory-Efficient Personalization of Text-to-Image Diffusion Models.
Seokeon Choi, Sunghyun Park, Hyoungwoo Park, Jeongho Kim, Sungrack Yun.
NeurIPS 2026 (accepted). [Paper]
Object Fusion via Diffusion Time-step for Customized Image Editing with Single Example.
Xue Song, Zhongqi Yue, Jiequan Cui, Hanwang Zhang, Jingjing Chen.
AAAI 2026. [Paper]
Dual Optimal Transport for Multi-Concept Composition: Structure Alignment and Texture Injection in Diffusion Models.
Hao Fu, Tianyu Su, Meng Liu, Chenfang Yang, Tian Gan.
ICML 2026. [Paper]
ASemConsist: Adaptive Semantic Feature Control for Training-Free Identity-Consistent Generation.
Shin Seong Kim, Minjung Shin, Hyunin Cho, Youngjung Uh.
arXiv 2025. [Paper]
Geometric Disentanglement of Text Embeddings for Subject-Consistent Text-to-Image Generation using A Single Prompt.
Shangxun Li, Youngjung Uh.
arXiv 2025. [Paper]
Directional Textual Inversion for Personalized Text-to-Image Generation.
Kunhee Kim, NaHyeon Park, Kibeom Hong, Hyunjung Shim.
ICLR 2026. [Paper] [arXiv]
Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization.
Tsai-Shien Chen, Aliaksandr Siarohin, Gordon Guocheng Qian, Kuan-Chieh Jackson Wang, Egor Nemchinov, Moayed Haji-Ali, Riza Alp Guler, Willi Menapace, Ivan Skorokhodov, Anil Kag, Jun-Yan Zhu, Sergey Tulyakov.
CVPR 2026. [Paper] [arXiv]
Dynamic Image Prompt Adapter for Scalable Zero-shot Personalized Text-to-Image Generation.
Zhizhong Wang, Tianyi Chu, Richard Wang, Nanyang Wang, Kehan Li.
ECCV 2026. [Paper] [arXiv]
LoFA: Learning to Predict Personalized Prior for Fast Adaptation of Visual Generative Models.
Yiming Hao, Mutian Xu, Chongjie Ye, Jie Qin, Shunlin Lu, Yipeng Qin, Xiaoguang Han.
CVPR 2026. [Paper] [arXiv]
Not All Birds Look The Same: Identity-Preserving Generation For Birds.
Aaron Sun, Oindrila Saha, Subhransu Maji.
CVPR 2026. [Paper] [arXiv]
PhyCustom: Towards Realistic Physical Customization in Text-to-Image Generation.
Fan Wu, Cheng Chen, Zhoujie Fu, Jiacheng Wei, Yi Xu, Deheng Ye, Guosheng Lin.
arXiv 2025. [Paper]
MINDiff: Mask-Integrated Negative Attention for Controlling Overfitting in Text-to-Image Personalization.
Seulgi Jeong, Jaeil Kim.
arXiv 2025. [Paper]
Coffee: Controllable Diffusion Fine-tuning.
Ziyao Zeng, Jingcheng Ni, Ruyi Liu, Alex Wong.
arXiv 2025. [Paper]
FreeFuse: Multi-Subject LoRA Fusion via Adaptive Token-Level Routing at Test Time.
Yaoli Liu, Yao-Xiang Ding, Kun Zhou.
arXiv 2025. [Paper]
From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation.
Ziwei Huang, Ying Shu, Hao Fang, Quanyu Long, Wenya Wang, Qiushi Guo, Tiezheng Ge, Leilei Gan.
arXiv 2025. [Paper]
Chimera: Compositional Image Generation using Part-based Concepting.
Shivam Singh, Yiming Chen, Agneet Chatterjee, Amit Raj, James Hays, Yezhou Yang, Chitta Baral.
arXiv 2025. [Paper]
ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement.
Habin Lim, Yeongseob Won, Juwon Seo, Gyeong-Moon Park.
ICCV 2025. [Paper] [arXiv]
DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models.
Komal Kumar, Rao Anwer, Fahad Shahbaz Khan, Salman Khan, Ivan Laptev, Hisham Cholakkal.
NeurIPS 2025. [Paper] [arXiv] [DOI]
CusEnhancer: A Zero-Shot Scene and Controllability Enhancement Method for Photo Customization via ResInversion.
Maoye Ren, Praneetha Vaddamanu, Jianjin Xu, Fernando De la Torre Frade.
arXiv 2025. [Paper]
One-shot Embroidery Customization via Contrastive LoRA Modulation.
Jun Ma, Qian He, Gaofeng He, Huang Chen, Chen Liu, Xiaogang Jin, Huamin Wang.
ACM TOG 2025. [Paper] [arXiv]
Stencil: Subject-Driven Generation with Context Guidance.
Gordon Chen, Ziqi Huang, Cheston Tan, Ziwei Liu.
arXiv 2025. [Paper]
Animalbooth: multimodal feature enhancement for animal subject personalization.
Chen Liu, Haitao Wu, Kafeng Wang, Weiran Huang.
arXiv 2025. [Paper]
TIDE: Achieving Balanced Subject-Driven Image Generation via Target-Instructed Diffusion Enhancement.
Jibai Lin, Bo Ma, Yating Yang, Xi Zhou, Rong Ma, Turghun Osman, Ahtamjan Ahmat, Rui Dong, Lei Wang.
arXiv 2025. [Paper]
Steering Guidance for Personalized Text-to-Image Diffusion Models.
Sunghyun Park, Seokeon Choi, Hyoungwoo Park, Sungrack Yun.
ICCV 2025. [Paper] [arXiv]
Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA.
Rameen Abdal, Or Patashnik, Ekaterina Deyneka, Hao Chen, Aliaksandr Siarohin, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman.
SIGGRAPH Asia 2025. [Paper] [arXiv]
FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers.
Yanbing Zhang, Zhe Wang, Qin Zhou, Mengping Yang.
ICCV 2025. [Paper] [arXiv]
ID-EA: Identity-driven Text Enhancement and Adaptation with Textual Inversion for Personalized Text-to-Image Generation.
Hyun-Jun Jin, Young-Eun Kim, Seong-Whan Lee.
arXiv 2025. [Paper]
CoDi: Subject-Consistent and Pose-Diverse Text-to-Image Generation.
Zhanxin Gao, Beier Zhu, Liang Yao, Jian Yang, Ying Tai.
ICLR 2026. [Paper] [Proceedings]
T-LoRA: Single Image Diffusion Model Customization Without Overfitting.
Vera Soboleva, Aibek Alanov, Andrey Kuznetsov, Konstantin Sobolev.
AAAI 2026. [Paper] [arXiv]
APT: Adaptive Personalized Training for Diffusion Models with Limited Data.
JungWoo Chae, Jiyoon Kim, JaeWoong Choi, Kyungyul Kim, Sangheum Hwang.
CVPR 2025. [Paper] [arXiv]
IC-Custom: Diverse Image Customization via In-Context Learning.
Yaowei Li, Xiaoyu Li, Zhaoyang Zhang, Yuxuan Bian, Gan Liu, Xinyuan Li, Jiale Xu, Wenbo Hu, Yating Liu, Lingen Li, Jing Cai, Yuexian Zou, Yancheng He, Ying Shan.
ICLR 2026. [Paper] [arXiv]
Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment.
Anh Bui, Thuy-Trang Vu, Trung Le, Junae Kim, Tamas Abraham, Rollin Omari, Amardeep Kaur, Dinh Phung.
ICLR 2026. [Paper] [arXiv]
Preserve Anything: Controllable Image Synthesis with Object Preservation.
Prasen Kumar Sharma, Neeraj Matiyali, Siddharth Srivastava, Gaurav Sharma.
ICCV 2025. [Paper] [arXiv]
Noise Consistency Regularization for Improved Subject-Driven Image Synthesis.
Yao Ni, Song Wen, Piotr Koniusz, Anoop Cherian.
arXiv 2025. [Paper]
PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples.
Junyu Liu, R. Kenny Jones, Daniel Ritchie.
arXiv 2025. [Paper]
ComposeAnything: Composite Object Priors for Text-to-Image Generation.
Zeeshan Khan, Shizhe Chen, Cordelia Schmid.
arXiv 2025. [Paper]
AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment.
Yiheng Lin, Shifang Zhao, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei.
arXiv 2025. [Paper]
Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift.
Gihoon Kim, Hyungjin Park, Taesup Kim.
ICLR 2026. [Paper] [arXiv]
Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter.
Weizhi Zhong, Huan Yang, Zheng Liu, Huiguo He, Zijian He, Xuesong Niu, Di ZHANG, Guanbin Li.
ICLR 2026. [Paper] [arXiv]
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens.
Ruichuan An, Sihan Yang, Renrui Zhang, Zijun Shen, Ming Lu, Gaole Dai, Hao Liang, Ziyu Guo, Shilin Yan, Yulin Luo, Bocheng Zou, Chaoqun Yang, Wentao Zhang.
NeurIPS 2025. [Paper] [arXiv] [DOI]
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition.
Yiyan Xu, Wuqiang Zheng, Wenjie Wang, Fengbin Zhu, Xinting Hu, Yang Zhang, Fuli Feng, Tat-Seng Chua.
ACM MM 2025. [Paper] [arXiv]
DreamO: A Unified Framework for Image Customization.
Chong Mou, Yanze Wu, Wenxu Wu, Zinan Guo, Pengze Zhang, Yufeng Cheng, Yiming Luo, Fei Ding, Shiwen Zhang, Xinghui Li, Mengtian Li, Mingcong Liu, Yunsheng Jiang, Shaojin Wu, Songtao Zhao, Jian Zhang, Qian He, Xinglong Wu.
SIGGRAPH Asia 2025. [Paper] [arXiv] [Code]
InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework.
Jiale Tao, Yanbing Zhang, Qixun Wang, Yiji Cheng, Haofan Wang, Xu Bai, Zhengguang Zhou, Ruihuang Li, Linqing Wang, Chunyu Wang, Qin Lin, Qinglin Lu.
arXiv 2025. [Paper] [Code]
Flux Already Knows -- Activating Subject-Driven Image Generation without Training.
Hao Kang, Stathi Fotiadis, Liming Jiang, Qing Yan, Yumin Jia, Zichuan Liu, Min Jin Chong, Xin Lu.
arXiv 2025. [Paper]
FlexIP: Dynamic Control of Preservation and Personality for Customized Image Generation.
Linyan Huang, Haonan Lin, Yanning Zhou, Kaiwen Xiao.
arXiv 2025. [Paper]
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation.
Shaojin Wu, Mengqi Huang, Wenxu Wu, Yufeng Cheng, Fei Ding, Qian He.
ICCV 2025. [Paper] [Code] [Project]
Meta-LoRA: Meta-Learning LoRA Components for Domain-Aware ID Personalization.
Barış Batuhan Topal, Umut Özyurt, Zafer Doğan Budak, Ramazan Gokberk Cinbis.
arXiv 2025. [Paper]
Single Image Iterative Subject-driven Generation and Editing.
Yair Shpitzer, Gal Chechik, Idan Schwartz.
arXiv 2025. [Paper] [Code] [Project]
Efficient Personalization of Quantized Diffusion Model without Backpropagation.
Hoigi Seo, Wongi Jeong, Kyungryeol Lee, Se Young Chun.
CVPR 2025. [Paper] [arXiv]
Personalize Anything for Free with Diffusion Transformer.
Haoran Feng, Zehuan Huang, Lin Li, Lu Sheng.
AAAI 2026. [Paper] [arXiv] [Code] [Project]
Conceptrol: Concept Control of Zero-shot Personalized Image Generation.
Qiyuan He, Angela Yao.
arXiv 2025. [Paper]
ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization.
Shi Zhan Liu, Hao ZHENG, Hang Yu, Jianguo Li.
ICLR 2026. [Paper] [arXiv]
SYNTHIA: Novel Concept Design with Affordance Composition.
Hyeonjeong Ha, Xiaomeng Jin, Jeonghwan Kim, Jiateng Liu, Zhenhailong Wang, Khanh Duy Nguyen, Ansel Blume, Nanyun Peng, Kai-Wei Chang, Heng Ji.
arXiv 2025. [Paper]
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization.
Trung X. Pham, Zhang Kang, Ji Woo Hong, Xuran Zheng, Chang D. Yoo.
arXiv 2025. [Paper]
Generating Multi-Image Synthetic Data for Text-to-Image Customization.
Nupur Kumari, Xi Yin, Jun-Yan Zhu, Ishan Misra, Samaneh Azadi.
ICCV 2025. [Paper] [arXiv]
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt.
Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng.
ICLR 2025. [Paper] [arXiv]
TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space.
Daniel Garibi, Shahar Yadin, Roni Paiss, Omer Tov, Shiran Zada, Ariel Ephrat, Tomer Michaeli, Inbar Mosseri, Tali Dekel.
ACM TOG 2025. [Paper] [arXiv]
Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models.
Zerui Tao, Yuhta Takida, Naoki Murata, Qibin Zhao, Yuki Mitsufuji.
ICCV 2025. [Paper] [arXiv]
SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation.
Shang Chai, Zihang Lin, Min Zhou, Xubin Li, Liansheng Zhuang, Houqiang Li.
arXiv 2025. [Paper]
Nested Attention: Semantic-aware Attention Values for Concept Personalization.
Or Patashnik, Rinon Gal, Daniil Ostashev, Sergey Tulyakov, Kfir Aberman, Daniel Cohen-Or.
SIGGRAPH 2025. [Paper] [arXiv]
TFCustom: Customized Image Generation with Time-Aware Frequency Feature Guidance.
Mushui Liu, Dong She, Jingxuan Pang, Qihan Huang, Jiacheng Ying, Wanggui He, Yuanlei Hou, Siming Fu.
CVPR 2025. [Paper]
PS-Diffusion: Photorealistic Subject-Driven Image Editing with Disentangled Control and Attention.
Weicheng Wang, Guoli Jia, Zhongqi Zhang, Liang Lin, Jufeng Yang.
CVPR 2025. [Paper]
UniversalBooth: Model-Agnostic Personalized Text-to-Image Generation.
Songhua Liu, Ruonan Yu, Xinchao Wang.
ICCV 2025. [Paper]
QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation.
Jiahui Yang, Yongjia Ma, Donglin Di, Jianxun Cui, Hao Li, Wei Chen, Yan Xie, Xun Yang, Wangmeng Zuo.
ICCV 2025. [Paper]
P3S-Diffusion:A Selective Subject-driven Generation Framework via Point Supervision.
Junjie Hu, Shuyong Gao, Lingyi Hong, Qishan Wang, Yuzhou Zhao, Yan Wang, Wenqiang Zhang.
arXiv 2024. [Paper]
DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization.
Geonhui Jang, Jin-Hwa Kim, Yong-Hyun Park, Junho Kim, Gayoung Lee, Yonghyun Jeong.
arXiv 2024. [Paper]
ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation.
Daniel Winter, Asaf Shul, Matan Cohen, Dana Berman, Yael Pritch, Alex Rav-Acha, Yedid Hoshen.
ICCV 2025. [Paper] [arXiv]
PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation.
Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jie Song.
CVPR 2025. [Paper] [arXiv]
LoRA Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model Personalization.
Ethan Smith, Rami Seid, Alberto Hojel, Paramita Mishra, Jianbo Wu.
arXiv 2024. [Paper]
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences.
Chenyang Zhu, Kai Li, Yue Ma, Longxiang Tang, Chengyu Fang, Chubin Chen, Qifeng Chen, Xiu Li.
ICLR 2025. [Paper] [arXiv]
DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models.
Shwetha Ram, Tal Neiman, Qianli Feng, Andrew Stuart, Son Tran, Trishul Chilimbi.
arXiv 2024. [Paper]
Diffusion Self-Distillation for Zero-Shot Customized Image Generation.
Shengqu Cai, Eric Ryan Chan, Yunzhi Zhang, Leonidas Guibas, Jiajun Wu, Gordon Wetzstein.
CVPR 2025. [Paper] [arXiv]
DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching.
Emanuele Aiello, Umberto Michieli, Diego Valsesia, Mete Ozay, Enrico Magli.
CVPR 2025. [Paper] [Code] [Project]
DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image Inpainting.
Yicheng Yang, Pengxiang Li, Lu Zhang, Liqian Ma, Ping Hu, Siyu Du, Yunzhi Zhuge, Xu Jia, Huchuan Lu.
arXiv 2024. [Paper]
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator.
Chaehun Shin, Jooyoung Choi, Heeseung Kim, Sungroh Yoon.
CVPR 2025. [Paper] [arXiv]
Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge.
Yiyang Cai, Zhengkai Jiang, Yulong Liu, Chunyang Jiang, Wei Xue, Yike Guo, Wenhan Luo.
NeurIPS 2025. [Paper] [arXiv] [DOI]
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models.
Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli.
NeurIPS 2024. [Paper] [arXiv] [DOI]
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models.
Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng.
arXiv 2024. [Paper]
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models.
Zhengyang Yu, Zhaoyuan Yang, Jing Zhang.
NeurIPS 2024. [Paper] [arXiv] [DOI]
DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation.
Jing He, Haodong Li, Yongzhe Hu, Guibao Shen, Yingjie Cai, Weichao Qiu, Ying-Cong Chen.
ICLR 2025. [Paper] [Proceedings]
Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation.
Qihan Huang, Siming Fu, Jinlong Liu, Hao Jiang, Yipeng Yu, Jie Song.
AAAI 2025. [Paper] [arXiv]
CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization.
Nan Chen, Mengqi Huang, Zhuowei Chen, Yang Zheng, Lei Zhang, Zhendong Mao.
AAAI 2025. [Paper] [arXiv]
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization.
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AAAI 2025. [Paper] [arXiv]
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning.
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NeurIPS 2024. [Paper] [arXiv] [DOI]
PartCraft: Crafting Creative Objects by Parts.
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ECCV 2024. [Paper]
CustAny: Customizing Anything from A Single Example.
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CVPR 2025. [Paper] [arXiv]
Interpreting the Weight Space of Customized Diffusion Models.
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NeurIPS 2024. [Paper] [arXiv] [DOI]
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Xierui Wang, Siming Fu, Qihan Huang, Wanggui He, Hao Jiang.
arXiv 2024. [Paper] [Code] [Project]
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction.
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ICLR 2025. [Paper] [arXiv]
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation.
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NeurIPS 2024. [Paper] [arXiv] [DOI]
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models.
Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Hao Wang, Molei Tao, Dimitris N. Metaxas.
arXiv 2024. [Paper]
AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization.
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arXiv 2024. [Paper]
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance.
Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen.
arXiv 2024. [Paper]
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance.
Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Yunchao Wei.
arXiv 2024. [Paper]
User-Friendly Customized Generation with Multi-Modal Prompts.
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arXiv 2024. [Paper] [Code]
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance.
Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu.
NeurIPS 2024. [Paper] [arXiv] [DOI]
Personalized Residuals for Concept-Driven Text-to-Image Generation.
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arXiv 2024. [Paper]
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Kelvin C. K. Chan, Yang Zhao, Xuhui Jia, Ming-Hsuan Yang, Huisheng Wang.
arXiv 2024. [Paper]
MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation.
Xujie Zhang, Ente Lin, Xiu Li, Yuxuan Luo, Michael Kampffmeyer, Xin Dong, Xiaodan Liang.
arXiv 2024. [Paper]
Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting.
Weili Zeng, Yichao Yan, Qi Zhu, Zhuo Chen, Pengzhi Chu, Weiming Zhao, Xiaokang Yang.
ACM MM 2024. [Paper] [arXiv]
CAT: Contrastive Adapter Training for Personalized Image Generation.
Jae Wan Park, Sang Hyun Park, Jun Young Koh, Junha Lee, Min Song.
arXiv 2024. [Paper]
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation.
Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang.
arXiv 2024. [Paper]
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arXiv 2024. [Paper]
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation.
Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter.
arXiv 2024. [Paper]
Attention Calibration for Disentangled Text-to-Image Personalization.
Yanbing Zhang, Mengping Yang, Qin Zhou, Zhe Wang.
arXiv 2024. [Paper]
Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization.
Jimyeong Kim, Jungwon Park, Wonjong Rhee.
arXiv 2024. [Paper]
MM-Diff: High-Fidelity Image Personalization via Multi-Modal Condition Integration.
Zhichao Wei, Qingkun Su, Long Qin, Weizhi Wang.
arXiv 2024. [Paper]
Generative Active Learning for Image Synthesis Personalization.
Xulu Zhang, Wengyu Zhang, Xiaoyong Wei, Jinlin Wu, Zhaoxiang Zhang, Zhen Lei, Qing Li.
ACM MM 2024. [Paper] [arXiv]
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization.
Yeji Song, Jimyeong Kim, Wonhark Park, Wonsik Shin, Wonjong Rhee, Nojun Kwak.
AAAI 2025. [Paper] [arXiv]
Tuning-Free Image Customization with Image and Text Guidance.
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arXiv 2024. [Paper]
Fast Personalized Text-to-Image Syntheses With Attention Injection.
Yuxuan Zhang, Yiren Song, Jinpeng Yu, Han Pan, Zhongliang Jing.
arXiv 2024. [Paper]
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models.
Zhe Kong, Yong Zhang, Tianyu Yang, Tao Wang, Kaihao Zhang, Bizhu Wu, Guanying Chen, Wei Liu, Wenhan Luo.
arXiv 2024. [Paper]
StableGarment: Garment-Centric Generation via Stable Diffusion.
Rui Wang, Hailong Guo, Jiaming Liu, Huaxia Li, Haibo Zhao, Xu Tang, Yao Hu, Hao Tang, Peipei Li.
arXiv 2024. [Paper]
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation.
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arXiv 2024. [Paper]
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation.
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arXiv 2024. [Paper]
RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization.
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arXiv 2024. [Paper]
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models.
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arXiv 2024. [Paper]
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models.
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NeurIPS 2024. [Paper] [arXiv] [DOI]
ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image.
Yan Hong, Jianfu Zhang.
arXiv 2024. [Paper]
Visual Concept-driven Image Generation with Text-to-Image Diffusion Model.
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arXiv 2024. [Paper]
Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation.
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arXiv 2024. [Paper]
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization.
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CVPR 2024. [Paper]
SeFi-IDE: Semantic-Fidelity Identity Embedding for Personalized Diffusion-Based Generation.
Yang Li, Songlin Yang, Wei Wang, Jing Dong.
arXiv 2024. [Paper]
Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image Personalization.
Henglei Lv, Jiayu Xiao, Liang Li.
ACM MM 2024. [Paper] [arXiv]
Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding.
Jianxiang Lu, Cong Xie, Hui Guo.
arXiv 2024. [Paper]
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models.
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arXiv 2024. [Paper]
PALP: Prompt Aligned Personalization of Text-to-Image Models.
Moab Arar, Andrey Voynov, Amir Hertz, Omri Avrahami, Shlomi Fruchter, Yael Pritch, Daniel Cohen-Or, Ariel Shamir.
SIGGRAPH Asia 2024. [Paper] [arXiv]
DreamBooth++: Boosting Subject-Driven Generation via Region-Level References Packing.
Zhongyi Fan, Zixin Yin, Gang Li, Yibing Zhan, Heliang Zheng.
ACM MM 2024. [Paper]
Cross Initialization for Personalized Text-to-Image Generation.
Lianyu Pang, Jian Yin, Haoran Xie, Qiping Wang, Qing Li, Xudong Mao.
CVPR 2024. [Paper]
DreamTuner: Single Image is Enough for Subject-Driven Generation.
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arXiv 2023. [Paper]
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arXiv 2023. [Paper]
Compositional Inversion for Stable Diffusion Models.
Xulu Zhang, Xiao-Yong Wei, Jinlin Wu, Tianyi Zhang, Zhaoxiang Zhang, Zhen Lei, Qing Li.
AAAI 2024. [Paper]
Customization Assistant for Text-to-image Generation.
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CVPR 2024. [Paper]
VideoBooth: Diffusion-based Video Generation with Image Prompts.
Yuming Jiang, Tianxing Wu, Shuai Yang, Chenyang Si, Dahua Lin, Yu Qiao, Chen Change Loy, Ziwei Liu.
arXiv 2023. [Paper]
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models.
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arXiv 2023. [Paper]
VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model.
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arXiv 2023. [Paper]
CLiC: Concept Learning in Context.
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CVPR 2024. [Paper]
CatVersion- Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization.
Ruoyu Zhao, Mingrui Zhu, Shiyin Dong, Nannan Wang, Xinbo Gao.
arXiv 2023. [Paper]
Lego- Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models.
Saman Motamed, Danda Pani Paudel, Luc Van Gool.
arXiv 2023. [Paper]
An Image is Worth Multiple Words- Multi-attribute Inversion for Constrained Text-to-Image Synthesis.
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arXiv 2023. [Paper]
DIFFNAT- Improving Diffusion Image Quality Using Natural Image Statistics.
Aniket Roy, Maiterya Suin, Anshul Shah, Ketul Shah, Jiang Liu, Rama Chellappa.
arXiv 2023. [Paper]
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.
Xingzhe He, Zhiwen Cao, Nicholas Kolkin, Lantao Yu, Helge Rhodin, Ratheesh Kalarot.
arXiv 2023. [Paper]
CustomNet: Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models.
Ziyang Yuan, Mingdeng Cao, Xintao Wang, Zhongang Qi, Chun Yuan, Ying Shan.
ACM MM 2024. [Paper] [arXiv]
AN IMAGE IS WORTH MULTIPLE WORDS : LEARNING OBJECT LEVEL CONCEPTS USING MULTI-CONCEPT PROMPT LEARNING.
Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare.
arXiv 2023. [Paper]
Kosmos-G: Generating Images in Context with Multimodal Large Language Models.
Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei.
arXiv 2023. [Paper]
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation.
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ICLR 2024. [Paper]
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Jian Ma, Junhao Liang, Chen Chen, Haonan Lu.
ICLR2024 (3566). [Paper]
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SIGGRAPH ASIA 2023. [Paper]
Generate Anything Anywhere in Any Scene.
Yuheng Li, Haotian Liu, Yangming Wen, Yong Jae Lee.
arXiv 2023. [Paper]
Controlling Text-to-Image Diffusion by Orthogonal Finetuning .
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NeurIPS 2023. [Paper]
COMCAT: Towards Efficient Compression and Customization of
Attention-Based Vision Models.
Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan.
arXiv 2023. [Paper]
Break-A-Scene: Extracting Multiple Concepts from a Single Image.
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski.
SIGGRAPH ASIA 2023. [Paper]
ProSpect- Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models.
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu.
TOG 2023. [Paper]
BLIP-Diffusion- Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing.
Dongxu Li, Junnan Li, Steven C. H. Hoi.
NeurIPS 2023. [Paper]
DisenBooth- Disentangled Parameter-Efficient Tuning for Subject-Driven Text-to-Image Generation.
Hong Chen, Yipeng Zhang, Simin Wu, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu.
arXiv 2023. [Paper]
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Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon.
SIGGRAPH 2023. [Paper]
Gradient-Free Textual Inversion.
Zhengcong Fei, Mingyuan Fan, Junshi Huang.
ACM MM 2023. [Paper]
Controllable Textual Inversion for Personalized Text-to-Image Generation.
Jianan Yang, Haobo Wang, Yanming Zhang, Ruixuan Xiao, Sai Wu, Gang Chen, Junbo Zhao.
arXiv 2023. [Paper]
InstantBooth- Personalized Text-to-Image Generation without Test-Time Finetuning.
Jing Shi, Wei Xiong, Zhe Lin, Hyun Joon Jung.
CVPR 2024. [Paper]
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models.
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arXiv 2023. [Paper]
Subject-driven Text-to-Image Generation via Apprenticeship Learning.
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NeurIPS 2023. [Paper]
A Closer Look at Parameter-Efficient Tuning in Diffusion Models .
Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu.
arXiv 2023. [Paper]
SVDiff- Compact Parameter Space for Diffusion Fine-Tuning.
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, Feng Yang.
ICCV 2023. [Paper]
P+- Extended Textual Conditioning in Text-to-Image Generation.
Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, Kfir Aberman.
arXiv 2023. [Paper]
Unified Multi-Modal Latent Diffusion for
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Yiyang Ma, Huan Yang, Wenjing Wang, Jianlong Fu, Jiaying Liu.
arXiv 2023. [Paper]
ELITE- Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation.
Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, Wangmeng Zuo.
ICCV 2023. [Paper]
Designing an Encoder for Fast Personalization of Text-to-Image Models.
Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or.
arXiv 2023. [Paper]
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics.
Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin.
NeurIPS 2023. [Paper]
Multi-Concept Customization of Text-to-Image Diffusion.
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu.
CVPR 2023. [Paper]
DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Positive-Negative Prompt-Tuning.
Ziyi Dong, Pengxu Wei, Liang Lin.
arXiv 2022. [Paper]
Re-Imagen: Retrieval-Augmented Text-to-Image Generator.
Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen.
ICLR 2023. [Paper]
DreamBooth- Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.
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CVPR 2023. [Paper]
An Image is Worth One Word- Personalizing Text-to-Image Generation using Textual Inversion.
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or.
ICLR 2023. [Paper]
PicturePerfect: Diffusion-based Same-identity Facial Replacement.
Manik Dhingra, Yashesh Savani, Mahesh Reddy, Antoine Mercier, Jiahe Liu, Guillaume Berger.
arXiv 2026. [Paper]
ALADDIN: Adversarial Latent Diffusion Distillation for One-Step Identity Swapping.
Ivan Shchekotov, Timofei Gritsaev, Viacheslav Pirogov, Dmitry Vetrov.
arXiv 2026. [Paper]
WithEveryone: Unified Planning and Identity Grounding for Group Image Generation.
Hengyuan Xu, Qixun Wang, Yiji Cheng, Miles Yang, Zhao Zhong, Wei Cheng, Xingjun Ma, Yu-gang Jiang.
arXiv 2026. [Paper] [Project]
Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models.
Taimoor Rizwan, Sara Atito, Muhammad Awais, Zhenhua Feng, Josef Kittler.
arXiv 2026. [Paper]
MagicMakeup: A Region-Controllable Diffusion Transformer for High-Fidelity Makeup-Transfer.
Ziyi Wang, Siming Zheng, Yang Yang, Shusong Xu, Hao Zhang, Bo Li, Changqing Zou, Peng-Tao Jiang.
ECCV 2026. [Paper] [Proceedings]
The Devil Is in the Leakage: A Disentangled Dual-Purification Framework for High-Fidelity Hairstyle Transfer.
Jijie Li, Jiankuo Zhao, Xiangyu Zhu, Zhen Lei.
ACM MM 2026 (accepted). [Paper] [arXiv]
H-Adapter: Pose-Robust Hairstyle Transfer via Attention-Derived, Source-Aligned Hair Masks.
Seulgi Jeong, Yunseong Cho, Sanghun Park.
ECCV 2026. [Paper] [arXiv]
CaricHarmony: Contrastive Diffusion Paths for Identity-Preserving Caricature Synthesis.
Dongyu Wang, Dar-Yen Chen, Yi-Zhe Song.
CVPR 2026. [Paper] [arXiv]
Cranio-Diff: Diffusion-based Cross-domain Craniofacial Reconstruction with 2D X-ray Skull Guidance and Structural Identity Constraints.
Ravi Shankar Prasad, Naresh Gurjar, Shashank Baghel, Chirag, Dinesh Singh.
arXiv 2026. [Paper]
Face inpainting with Identity Preserving Latent Diffusion Models.
João Santos, Carlos Santiago, Manuel Marques.
arXiv 2026. [Paper]
AdaptDiff: Adaptive Guidance in Diffusion Models for Diverse and Identity-Consistent Face Synthesis (Student Abstract).
Eduarda Caldeira, Tahar Chettaoui, Naser Damer, Fadi Boutros.
AAAI 2026 (Student Abstract). [Paper] [arXiv]
MMFace-DiT: A Dual-Stream Diffusion Transformer for High-Fidelity Multimodal Face Generation.
Bharath Krishnamurthy, Ajita Rattani.
CVPR 2026. [Paper] [arXiv]
ExpPortrait: Expressive Portrait Generation via Personalized Representation.
Junyi Wang, Yudong Guo, Boyang Guo, Shengming Yang, Juyong Zhang.
CVPR 2026. [Paper] [arXiv]
Controlled Face Manipulation and Synthesis for Data Augmentation.
Joris Kirchner, Amogh Gudi, Marian Bittner, Chirag Raman.
arXiv 2026. [Paper]
FlexID: Training-Free Flexible Identity Injection via Intent-Aware Modulation for Text-to-Image Generation.
Guandong Li, Yijun Ding.
arXiv 2026. [Paper]
Semantic Alignment for Pose-Invariant Identity Preserving Diffusion.
Jiwon Kim, SeonHwa Kim, Soobin Park, Eunju Cha, Kyong Hwan Jin.
CVPR 2026. [Paper]
OmniPortrait: Fine-Grained Personalized Portrait Synthesis via Pivotal Optimization.
Dongxu Yue, Bo Lin, Yao Tang, Jiajun Liang, Zhihai He, Chun Yuan.
ICLR 2026. [Paper]
FabricTryOn: Taming Image Editing Models for Garment Re-Texturing.
Jun Ma, Qian He, Gaofeng He, Huang Chen, Chen Liu, Xiaogang Jin, Yin Yang, Huamin Wang.
SIGGRAPH 2026. [Paper]
AttriHuman: Controllable Human Image Generation with Spatial Alignment and Attribute Consistency.
Wenzhuo Fan, Hongsheng Zheng, Jianchi Sun, Fei Fang, Chunxia Xiao.
ACM MM 2026 (accepted). [Paper]
IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation.
Donghao Zhou, Jingyu Lin, Guibao Shen, Quande Liu, Jialin Gao, Lihao Liu, Lan Du, Cunjian Chen, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng.
AAAI 2026. [Paper] [arXiv]
PMMD: A pose-guided multi-view multi-modal diffusion for person generation.
Ziyu Shang, Haoran Liu, Rongchao Zhang, Zhiqian Wei, Tongtong Feng.
arXiv 2025. [Paper]
HiFi-Portrait: Zero-shot Identity-preserved Portrait Generation with High-fidelity Multi-face Fusion.
Yifang Xu, Benxiang Zhai, Yunzhuo Sun, Ming Li, Yang Li, Sidan Du.
CVPR 2025. [Paper] [arXiv]
Jointly Conditioned Diffusion Model for Multi-View Pose-Guided Person Image Synthesis.
Chengyu Xie, Zhi Gong, Junchi Ren, Linkun Yu, Si Shen, Fei Shen, Xiaoyu Du.
arXiv 2025. [Paper]
FashionMAC: Deformation-Free Fashion Image Generation with Fine-Grained Model Appearance Customization.
Rong Zhang, Jinxiao Li, Jingnan Wang, Zhiwen Zuo, Jianfeng Dong, Wei Li, Chi Wang, Weiwei Xu, Xun Wang.
AAAI 2026. [Paper] [arXiv]
BeyondFacial: Identity-Preserving Personalized Generation Beyond Facial Close-ups.
Songsong Zhang, Chuanqi Tang, Minglong Li, Xueqiong Li, Shaowu Yang, Yuanxi Peng, Wenjing Yang, Jing Zhao.
ACM MM 2026 (accepted). [Paper] [arXiv]
Taming Identity Consistency and Prompt Diversity in Diffusion Models via Latent Concatenation and Masked Conditional Flow Matching.
Aditi Singhania, Arushi Jain, Krutik Malani, Riddhi Dhawan, Souymodip Chakraborty, Vineet Batra, Ankit Phogat.
arXiv 2025. [Paper]
PSTF-AttControl: Per-Subject-Tuning-Free Personalized Image Generation with Controllable Face Attributes.
Xiang liu, Zhaoxiang Liu, Huan Hu, Zipeng Wang, Ping Chen, Zezhou Chen, Kai Wang, Shiguo Lian.
arXiv 2025. [Paper]
Face-MakeUpV2: Facial Consistency Learning for Controllable Text-to-Image Generation.
Dawei Dai, Yinxiu Zhou, Chenghang Li, Guolai Jiang, Chengfang Zhang.
arXiv 2025. [Paper]
WithAnyone: Towards Controllable and ID Consistent Image Generation.
Hengyuan Xu, Wei Cheng, Peng Xing, Yixiao Fang, Shuhan Wu, Rui Wang, Xianfang Zeng, Daxin Jiang, Gang Yu, Xingjun Ma, Yu-Gang Jiang.
arXiv 2025. [Paper] [Code] [Project]
DreamMakeup: Face Makeup Customization using Latent Diffusion Models.
Geon Yeong Park, Inhwa Han, Serin Yang, Yeobin Hong, Seongmin Jeong, Heechan Jeon, Myeongjin Goh, Sung Won Yi, Jin Nam, Jong Chul Ye.
arXiv 2025. [Paper]
AgeBooth: Controllable Facial Aging and Rejuvenation via Diffusion Models.
Shihao Zhu, Bohan Cao, Ziheng Ouyang, Zhen Li, Peng-Tao Jiang, Qibin Hou.
arXiv 2025. [Paper]
Teleportraits: Training-Free People Insertion into Any Scene.
Jialu Gao, K J Joseph, Fernando De La Torre.
ICCV 2025. [Paper] [arXiv]
DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing.
Qi Li, Shuwen Qiu, Julien Han, Xingzi Xu, Mehmet Saygin Seyfioglu, Kee Kiat Koo, Karim Bouyarmane.
arXiv 2025. [Paper]
InstructVTON: Optimal Auto-Masking and Natural-Language-Guided Interactive Style Control for Inpainting-Based Virtual Try-On.
Julien Han, Shuwen Qiu, Qi Li, Xingzi Xu, Mehmet Saygin Seyfioglu, Kavosh Asadi, Karim Bouyarmane.
arXiv 2025. [Paper]
PosBridge: Multi-View Positional Embedding Transplant for Identity-Aware Image Editing.
Peilin Xiong, Junwen Chen, Honghui Yuan, Keiji Yanai.
arXiv 2025. [Paper]
Odo: Depth-Guided Diffusion for Identity-Preserving Body Reshaping.
Siddharth Khandelwal, Sridhar Kamath, Arjun Jain.
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arXiv 2025. [Paper]
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ICCV 2025. [Paper] [arXiv]
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SIGGRAPH Asia 2025. [Paper] [arXiv]
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CVPR 2026. [Paper] [arXiv]
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ICCV 2025. [Paper] [arXiv]
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CVPR 2025. [Paper] [arXiv]
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ICCV 2025. [Paper] [Code] [Project]
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CVPR 2025. [Paper] [arXiv]
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CVPR 2025. [Paper] [arXiv]
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CVPR 2025. [Paper] [arXiv]
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ICCV 2025. [Paper] [arXiv]
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arXiv 2025. [Paper]
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ICCV 2025. [Paper]
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arXiv 2024. [Paper]
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AAAI 2025. [Paper] [arXiv]
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AAAI 2025. [Paper] [arXiv]
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CVPR 2025. [Paper] [arXiv]
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arXiv 2024. [Paper]
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CVPR 2025. [Paper] [arXiv]
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arXiv 2024. [Paper]
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NeurIPS 2024. [Paper] [arXiv] [DOI]
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AAAI 2025. [Paper] [arXiv]
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ICCV 2025. [Paper] [Code] [Project]
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CVPR 2025. [Paper] [arXiv]
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arXiv 2024. [Paper]
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SIGGRAPH Asia 2024. [Paper] [arXiv]
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SIGGRAPH 2025. [Paper] [arXiv]
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CVPR 2024. [Paper]
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arXiv 2024. [Paper]
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NeurIPS 2024. [Paper] [DOI]
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CVPR 2024. [Paper]
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arXiv 2023. [Paper]
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CVPR 2024. [Paper]
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arXiv 2026. [Paper]
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arXiv 2026. [Paper]
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arXiv 2026. [Paper]
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ECCV 2026. [Paper] [arXiv]
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arXiv 2026. [Paper]
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ECCV 2026. [Paper] [arXiv]
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arXiv 2026. [Paper]
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arXiv 2026. [Paper]
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arXiv 2026. [Paper]
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arXiv 2026. [Paper]
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ECCV 2026. [Paper] [arXiv]
MAST: Mask-Guided Attention Control for Training-Free Regional-Multi Style Transfer.
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arXiv 2026. [Paper]
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NeurIPS Evaluations and Datasets Track 2026 (accepted). [Paper] [arXiv]
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arXiv 2026. [Paper]
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SIGGRAPH 2026. [Paper] [arXiv]
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arXiv 2026. [Paper]
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CVPR 2026. [Paper] [arXiv]
StyleGallery: Training-free and Semantic-aware Personalized Style Transfer from Arbitrary Image References.
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CVPR 2026. [Paper]
CleanStyle: Plug-and-Play Style Conditioning Purification for Text-to-Image Stylization.
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arXiv 2026. [Paper]
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Bowen Chen, Jake Zuena, Alan C. Bovik, Divya Kothandaraman.
CVPR 2026. [Paper] [arXiv]
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arXiv 2026. [Paper]
CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer.
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ICLR 2026. [Paper] [arXiv]
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arXiv 2026. [Paper]
TeleStyle: Content-Preserving Style Transfer in Images and Videos.
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arXiv 2026. [Paper]
FBSDiff++: Improved Frequency Band Substitution of Diffusion Features for Efficient and Highly Controllable Text-Driven Image-to-Image Translation.
Xiang Gao, Yunpeng Jia.
arXiv 2026. [Paper]
Sissi: Zero-shot Style-guided Image Synthesis via Semantic-style Integration.
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arXiv 2026. [Paper]
QwenStyle: Content-Preserving Style Transfer with Qwen-Image-Edit.
Shiwen Zhang, Haibin Huang, Chi Zhang, Xuelong Li.
arXiv 2026. [Paper]
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arXiv 2026. [Paper]
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ICML 2026. [Paper]
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ECCV 2026. [Paper]
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AAAI 2026. [Paper]
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AAAI 2026. [Paper]
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ACM MM 2026 (accepted). [Paper]
StyleCom: Taming Style Transfer and Collage Prior for Training-Based Cross-Domain Image Composition.
Qiang Lyu, Tao Yang, Kunze Wu, Yuheng Li, Yuanjun Liao, Zeyu Qiu, Haolin Shi, Yuning Gong, Jianlou Si, Fangda Chen, Bing Zhang, Junyuan Xiao, Yanchao Zhao, Zicong Chen, Yichen Liu, Chongxiao Wang, Jun Huang, Fei Ding, Zhou Jiang, Zhihao Li, Chun Pong Lau, Weiqiang Wang.
ACM MM 2026 (accepted). [Paper]
SCAdapter: Content-Style Disentanglement for Diffusion Style Transfer.
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arXiv 2025. [Paper]
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arXiv 2025. [Paper]
SplitFlux: Learning to Decouple Content and Style from a Single Image.
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CVPR 2026. [Paper] [arXiv]
A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space.
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CVPR 2026. [Paper] [arXiv]
V-Shuffle: Zero-Shot Style Transfer via Value Shuffle.
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arXiv 2025. [Paper]
Personalized Image Filter: Mastering Your Photographic Style.
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ICCV 2025. [Paper] [arXiv]
CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models.
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arXiv 2025. [Paper] [Code] [Project]
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SPG: Style-Prompting Guidance for Style-Specific Content Creation.
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arXiv 2025. [Paper]
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models.
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ICCV 2025. [Paper] [arXiv]
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ICCV 2025. [Paper] [arXiv]
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arXiv 2025. [Paper]
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NeurIPS 2025. [Paper] [arXiv] [DOI]
OmniStyle: Filtering High Quality Style Transfer Data at Scale.
Ye Wang, Ruiqi Liu, Jiang Lin, Fei Liu, Zili Yi, Yilin Wang, Rui Ma.
CVPR 2025. [Paper] [arXiv]
Style Customization of Text-to-Vector Generation with Image Diffusion Priors.
Peiying Zhang, Nanxuan Zhao, Jing Liao.
SIGGRAPH 2025. [Paper] [arXiv]
LLM-Enabled Style and Content Regularization for Personalized Text-to-Image Generation.
Anran Yu, Wei Feng, Yaochen Zhang, Xiang Li, Lei Meng, Lei Wu, Xiangxu Meng.
arXiv 2025. [Paper]
ICAS: IP Adapter and ControlNet-based Attention Structure for Multi-Subject Style Transfer Optimization.
Fuwei Liu.
arXiv 2025. [Paper]
Semantix: An Energy-guided Sampler for Semantic Style Transfer.
Huiang He, Minghui HU, Chuanxia Zheng, Chaoyue Wang, Tat-Jen Cham.
ICLR 2025. [Paper] [arXiv]
Free-Lunch Color-Texture Disentanglement for Stylized Image Generation.
Jiang Qin, Alexandra Gomez-Villa, Senmao Li, Shiqi Yang, Yaxing Wang, Kai Wang, Joost van de Weijer.
NeurIPS 2025. [Paper] [arXiv] [DOI]
ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer.
Bolin Chen, Baoquan Zhao, Haoran Xie, Yi Cai, Qing Li, Xudong Mao.
arXiv 2025. [Paper]
DyArtbank: Diverse Artistic Style Transfer via Pre-trained Stable Diffusion and Dynamic Style Prompt Artbank.
Zhanjie Zhang, Quanwei Zhang, Guangyuan Li, Junsheng Luan, Mengyuan Yang, Yun Wang, Lei Zhao.
arXiv 2025. [Paper]
U-StyDiT: Ultra-high Quality Artistic Style Transfer Using Diffusion Transformers.
Zhanjie Zhang, Ao Ma, Ke Cao, Jing Wang, Shanyuan Liu, Yuhang Ma, Bo Cheng, Dawei Leng, Yuhui Yin.
arXiv 2025. [Paper]
Balanced Image Stylization with Style Matching Score.
Yuxin Jiang, Liming Jiang, Shuai Yang, Jia-Wei Liu, Ivor W. Tsang, Mike Zheng Shou.
ICCV 2025. [Paper] [arXiv]
AttenST: A Training-Free Attention-Driven Style Transfer Framework with Pre-Trained Diffusion Models.
Bo Huang, Wenlun Xu, Qizhuo Han, Haodong Jing, Ying Li.
arXiv 2025. [Paper]
SigStyle: Signature Style Transfer via Personalized Text-to-Image Models.
Ye Wang, Tongyuan Bai, Xuping Xie, Zili Yi, Yilin Wang, Rui Ma.
AAAI 2025. [Paper] [arXiv]
StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models.
Zichong Chen, Shijin Wang, Yang Zhou.
arXiv 2025. [Paper]
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models.
Lin Zhu, Xinbing Wang, Chenghu Zhou, Qinying Gu, Nanyang Ye.
ICLR 2025. [Paper] [arXiv]
Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion.
Ludovica Schaerf, Andrea Alfarano, Fabrizio Silvestri, Leonardo Impett.
arXiv 2025. [Paper]
StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer.
Ruojun Xu, Weijie Xi, XiaoDi Wang, Yongbo Mao, Zach Cheng.
CVPR 2025. [Paper] [arXiv]
ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing.
Nisha Huang, Kaer Huang, Yifan Pu, Jiangshan Wang, Jie Guo, Yiqiang Yan, Xiu Li, Tong-Yee Lee.
arXiv 2025. [Paper]
Wasserstein Style Distribution Analysis and Transform for Stylized Image Generation.
Xi Yu, Xiang Gu, Zhihao Shi, Jian Sun.
ICCV 2025. [Paper]
Co-Painter: Fine-Grained Controllable Image Stylization via Implicit Decoupling and Adaptive Injection.
Bowen Fu, Wei Wei, Jiaqi Tang, Jiangtao Nie, Yanyu Ye, Xiaogang Xu, Ying-Cong Chen, Lei Zhang.
ICCV 2025. [Paper]
Efficient Hi-Fi Style Transfer via Statistical Attention and Modulation.
Zhirui Fang, Yi Li, Xin Xie, Chengyan Li, Yanqing Guo.
IJCAI 2025. [Paper] [DOI]
Training-free Fourier Phase Diffusion for Style Transfer.
Siyuan Zhang, Wei Ma, Libin Liu, Zheng Li, Hongbin Zha.
IJCAI 2025. [Paper] [DOI]
Style-Editor: Text-driven Object-centric Style Editing.
Jihun Park, Jongmin Gim, Kyoungmin Lee, Seunghun Lee, Sunghoon Im.
CVPR 2025. [Paper]
Text to Sketch Generation with Multi-Styles.
Tengjie Li, Shikui Tu, Lei Xu.
NeurIPS 2025. [Paper] [DOI]
Single Trajectory Distillation for Accelerating Image and Video Style Transfer.
Sijie Xu, Runqi Wang, Wei Zhu, Dejia Song, Nemo Chen, Xu Tang, Yao Hu.
ACM MM 2025. [Paper] [arXiv]
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation.
Shoukun Sun, Min Xian, Tiankai Yao, Fei Xu, Luca Capriotti.
AAAI 2025. [Paper] [arXiv]
StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements.
Mingkun Lei, Xue Song, Beier Zhu, Hao Wang, Chi Zhang.
CVPR 2025. [Paper] [Code] [Project]
UnZipLoRA: Separating Content and Style from a Single Image.
Chang Liu, Viraj Shah, Aiyu Cui, Svetlana Lazebnik.
ICCV 2025. [Paper] [arXiv]
Z-STAR+: A Zero-shot Style Transfer Method via Adjusting Style Distribution.
Yingying Deng, Xiangyu He, Fan Tang, Weiming Dong.
arXiv 2024. [Paper]
Style-Friendly SNR Sampler for Style-Driven Generation.
Jooyoung Choi, Chaehun Shin, Yeongtak Oh, Heeseung Kim, Jungbeom Lee, Sungroh Yoon.
arXiv 2024. [Paper]
Stylecodes: Encoding Stylistic Information For Image Generation.
Ciara Rowles.
arXiv 2024. [Paper]
CSGO: Content-Style Composition in Text-to-Image Generation.
Peng Xing, Haofan Wang, Yanpeng Sun, Qixun Wang, Xu Bai, Hao Ai, Renyuan Huang, Zechao Li.
arXiv 2024. [Paper] [Code] [Project]
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation.
Xiang Gao, Jiaying Liu.
ACM MM 2024. [Paper] [arXiv]
DiffArtist: Towards Structure and Appearance Controllable Image Stylization.
Ruixiang Jiang, Chang Wen Chen.
ACM MM 2025. [Paper] [arXiv]
StyleShot: A Snapshot on Any Style.
Junyao Gao, Yanchen Liu, Yanan Sun, Yinhao Tang, Yanhong Zeng, Kai Chen, Cairong Zhao.
arXiv 2024. [Paper] [Code] [Project]
InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation.
Haofan Wang, Peng Xing, Renyuan Huang, Hao Ai, Qixun Wang, Xu Bai.
arXiv 2024. [Paper] [Code]
Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models.
Matthew Zheng, Enis Simsar, Hidir Yesiltepe, Federico Tombari, Joel Simon, Pinar Yanardag.
NeurIPS Datasets and Benchmarks Track 2024. [Paper] [arXiv] [DOI]
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control.
Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu.
arXiv 2024. [Paper]
ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model.
Chengming Xu, Kai Hu, Qilin Wang, Donghao Luo, Jiangning Zhang, Xiaobin Hu, Yanwei Fu, Chengjie Wang.
arXiv 2024. [Paper]
VectorPainter: A Novel Approach to Stylized Vector Graphics Synthesis with Vectorized Strokes.
Juncheng Hu, Ximing Xing, Zhengqi Zhang, Jing Zhang, Qian Yu.
arXiv 2024. [Paper]
Customizing Text-to-Image Models with a Single Image Pair.
Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu.
SIGGRAPH Asia 2024. [Paper] [arXiv]
MuseumMaker: Continual Style Customization without Catastrophic Forgetting.
Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong.
arXiv 2024. [Paper]
StyleBooth: Image Style Editing with Multimodal Instruction.
Zhen Han, Chaojie Mao, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang.
arXiv 2024. [Paper]
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt.
Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, Dalong Zhang, Lixia Chen.
arXiv 2024. [Paper]
Text-to-Image Synthesis for Any Artistic Styles: Advancements in Personalized Artistic Image Generation via Subdivision and Dual Binding.
Junseo Park, Beomseok Ko, Hyeryung Jang.
arXiv 2024. [Paper]
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.
Haofan Wang, Matteo Spinelli, Qixun Wang, Xu Bai, Zekui Qin, Anthony Chen.
arXiv 2024. [Paper]
Implicit Style-Content Separation using B-LoRA.
Yarden Frenkel, Yael Vinker, Ariel Shamir, Daniel Cohen-Or.
arXiv 2024. [Paper]
DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations.
Tianhao Qi, Shancheng Fang, Yanze Wu, Hongtao Xie, Jiawei Liu, Lang Chen, Qian He, Yongdong Zhang.
CVPR 2024. [Paper]
Visual Style Prompting with Swapping Self-Attention.
Jaeseok Jeong, Junho Kim, Yunjey Choi, Gayoung Lee, Youngjung Uh.
arXiv 2024. [Paper]
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models.
Gong Zhang, Kihyuk Sohn, Meera Hahn, Humphrey Shi, Irfan Essa.
NeurIPS 2024. [Paper] [DOI]
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method.
Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan.
arXiv 2023. [Paper]
Style Aligned Image Generation via Shared Attention.
Amir Hertz, Andrey Voynov, Shlomi Fruchter, Daniel Cohen-Or.
CVPR 2024. [Paper]
ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation.
Dar-Yen Chen, Hamish Tennent, Ching-Wen Hsu.
arXiv 2023. [Paper]
StyleCrafter- Enhancing Stylized Text-to-Video Generation with Style Adapter.
Gongye Liu, Menghan Xia, Yong Zhang, Haoxin Chen, Jinbo Xing, Xintao Wang, Yujiu Yang, Ying Shan.
arXiv 2023. [Paper]
StyleDrop: Text-to-Image Generation in Any Style.
Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan.
arXiv 2023. [Paper]
Composing People Together: Iterative Pose-Image Generation for Multi-Person Interaction Scenes.
Wenxuan Peng, Bharath Hariharan, Hadar Averbuch-Elor.
SIGGRAPH 2026. [Paper] [arXiv] [Code] [Project]
ViHOI: Human-Object Interaction Synthesis with Visual Priors.
Songjin Cai, Linjie Zhong, Ling Guo, Changxing Ding.
CVPR 2026. [Paper] [arXiv]
Semantic Derivative Flow: Graph-Guided Diffusion for Controllable Instance Interactions.
Shibin Mei, Hang Wang, Bingbing Ni.
CVPR 2026. [Paper]
Interact-Custom: Customized Human Object Interaction Image Generation.
Zhu Xu, Zhaowen Wang, Yuxin Peng, Yang Liu.
ACM MM 2025. [Paper] [arXiv]
CEIDM: A Controlled Entity and Interaction Diffusion Model for Enhanced Text-to-Image Generation.
Mingyue Yang, Dianxi Shi, Jialu Zhou, Xinyu Wei, Leqian Li, Shaowu Yang, Chunping Qiu.
arXiv 2025. [Paper]
Improving Personalized Image Generation through Social Context Feedback.
Parul Gupta, Abhinav Dhall, Thanh-Toan Do.
arXiv 2025. [Paper]
VerbDiff: Text-Only Diffusion Models with Enhanced Interaction Awareness.
SeungJu Cha, Kwanyoung Lee, Ye-Chan Kim, Hyunwoo Oh, Dong-Jin Kim.
CVPR 2025. [Paper] [arXiv]
Reference-free Human-Object Interaction Editing.
Jiun Tian Hoe, Weipeng Hu, Wei Zhou, Chao Xie, Ziwei Wang, Xudong Jiang, Yap-Peng Tan, Chee Seng Chan.
arXiv 2025. [Paper] [Code] [Project]
PersonaHOI: Effortlessly Improving Face Personalization in Human-Object Interaction Generation.
Xinting Hu, Haoran Wang, Jan Eric Lenssen, Bernt Schiele.
CVPR 2025. [Paper] [arXiv]
DreamRelation: Bridging Customization and Relation Generation.
Qingyu Shi, Lu Qi, Jianzong Wu, Jinbin Bai, Jingbo Wang, Yunhai Tong, Xiangtai Li.
CVPR 2025. [Paper] [arXiv]
SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance.
Guibao Shen, Luozhou Wang, Jiantao Lin, Wenhang Ge, Chaozhe Zhang, Xin Tao, Yuan Zhang, Pengfei Wan, Zhongyuan Wang, Guangyong Chen, Yijun Li, Ying-Cong Chen.
arXiv 2024. [Paper]
VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce Marketing.
Binghui Chen, Chongyang Zhong, Wangmeng Xiang, Yifeng Geng, Xuansong Xie.
arXiv 2024. [Paper]
InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models.
Jiun Tian Hoe, Xudong Jiang, Chee Seng Chan, Yap-Peng Tan, Weipeng Hu.
arXiv 2023. [Paper]
MotionCrafter: One-Shot Motion Customization of Diffusion Models.
Yuxin Zhang, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu.
arXiv 2023. [Paper]
DreaMoving: A Human Dance Video Generation Framework based on Diffusion Models.
Mengyang Feng, Jinlin Liu, Kai Yu, Yuan Yao, Zheng Hui, Xiefan Guo, Xianhui Lin, Haolan Xue, Chen Shi, Xiaowen Li, Aojie Li, Xiaoyang Kang, Biwen Lei, Miaomiao Cui, Peiran Ren, Xuansong Xie.
arXiv 2023. [Paper]
Customizing Motion in Text-to-Video Diffusion Models.
Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan Russell.
arXiv 2023. [Paper]
SAVE: Protagonist Diversification with Structure Agnostic Video Editing.
Yeji Song, Wonsik Shin, Junsoo Lee, Jeesoo Kim, Nojun Kwak.
arXiv 2023. [Paper]
LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation.
Ruiqi Wu, Liangyu Chen, Tong Yang, Chunle Guo, Chongyi Li, Xiangyu Zhang.
arXiv 2023. [Paper]
MotionDirector- Motion Customization of Text-to-Video Diffusion Models.
Rui Zhao, Yuchao Gu, Jay Zhangjie Wu, David Junhao Zhang, Jiawei Liu, Weijia Wu, Jussi Keppo, Mike Zheng Shou.
arXiv 2023. [Paper]
AnimateDiff- Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo Dai.
ICLR2024 (6688). [Paper]
ReVersion- Diffusion-Based Relation Inversion from Images .
Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C. K. Chan, Ziwei Liu.
arXiv 2023. [Paper]
EditAgent: Rethinking Agentic Image Editing.
Haiyang Xu, Tianyu Wang, Jialu Li, Jiteng Mu, Yuanjun Xiong, Jianming Zhang, Zhuowen Tu, Mingze Xu.
arXiv 2026. [Paper]
Structure-retained low-rank adapters for weather synthesis.
Shunxin Wang, Alexandros Stergiou, Luuk Spreeuwers, Estefania Talavera, Nicola Strisciuglio.
arXiv 2026. [Paper]
PolyGandr: Steering Generative Models via Spatial Navigation through Latent Space.
Mingwei S. G. Li, Susie S. Y. Li, Isabel Moreira de Oliveira, Ryan P. Adams, Remco Chang.
arXiv 2026. [Paper]
RefRoute: Decoupling Conditioning Cost from References via Compact Residual Conditioning and Spatial Routing.
Wanning He, Yuyao Zhang, Yu-Wing Tai.
arXiv 2026. [Paper]
Diffusion Image Editing via Asynchronous Token Decoding.
Yang Shi, Liangsi Lu, Minzhe Guo, Yifeng Xie, Yanhui Chen, Jingchao Wang, Xuhang Chen.
ACM MM 2026 (accepted). [Paper] [arXiv]
Wavelet Phase Diffusion for Structurally and Semantically Consistent Sim-to-Real Translation.
Kaiwen Wang, Frank Bieder, Yinzhe Shen, Carlos Fernandez, Jan-Hendrik Pauls, Omer Sahin Tas.
WACV 2027 (accepted). [Paper] [Project]
Consistent Feature Transport for Image Relighting.
Bohan Zhang, Huanwei Liang, Yuhan He, Hongteng Xu, Quxiao Chao, Luoqi Liu, Dixin Luo, Ting Liu.
arXiv 2026. [Paper]
To Blend In, First Decouple: Rethinking Camouflage Image Generation via Context-Decoupled Representations.
Wenzhuang Wang, Yifan Zhao, Mingcan Ma, Yunlong Che, Haoran Chen, Ming Liu, Jia Li.
arXiv 2026. [Paper]
DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion Models.
Chunnan Shang, Zhizhong Wang, Xin Zhang, Hongwei Wang.
ECCV 2026. [Paper] [arXiv]
DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation.
Zijun Li, Yimin Zhou, Jia Sun, Honglie Wang, Pengcheng Wei, Junlong Wu, Yongrui Heng, Jiyuan Wang, Huan Ouyang, Boheng Zhang, Huaiqing Wang, Dewen Fan, Qianqian Gan, Fan Yang, Tingting Gao.
arXiv 2026. [Paper]
Controllable Texture Tiling via Diffusion Transformers with Transformed Rotary Embeddings.
Junrong Huang, Zhiyuan Zhang, Rui Tang, Hongbo Fu, Jing Liao.
SIGGRAPH 2026. [Paper] [arXiv]
LUCID: Learning Unified Control for Image Deflaring and Exposure Mastery in Nighttime Photography.
Tingyu Yang, Yuan Cheng, Xiaoyun Yuan.
SIGGRAPH 2026. [Paper] [arXiv]
Towards Controllable Image Generation through Representation-Conditioned Diffusion Models.
Nithesh Chandher Karthikeyan, Jonas Unger, Gabriel Eilertsen.
arXiv 2026. [Paper]
Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference.
Agata Żywot, Iason Skylitsis, Thijmen Nijdam, Zoe Tzifa-Kratira, Derck Prinzhorn, Konrad Szewczyk, Aritra Bhowmik.
arXiv 2026. [Paper]
LimeCross: Context-Conditioned Layered Image Editing with Structural Consistency.
Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser, Ko Watanabe, Riku Takahashi, Issey Sukeda, Andreas Dengel.
arXiv 2026. [Paper]
Advancing Aesthetic Image Generation via Composition Transfer.
Kai Zou, Zhiwei Zhao, Bin Liu, Nenghai Yu.
arXiv 2026. [Paper]
CatalogStitch: Dimension-Aware and Occlusion-Preserving Object Compositing for Catalog Image Generation.
Sanyam Jain, Pragya Kandari, Manit Singhal, He Zhang, Soo Ye Kim.
arXiv 2026. [Paper]
DreamLite: A Lightweight On-Device Unified Model for Image Generation and Editing.
Kailai Feng, Yuxiang WEI, Bo Chen, Yang Pan, Hu Ye, Songwei Liu, Chenqian Yan, Yuan Gao, Wangmeng Zuo.
ECCV 2026. [Paper] [arXiv]
PHAC: Promptable Human Amodal Completion.
Seung Young Noh, Ju Yong Chang.
CVPR 2026. [Paper] [arXiv]
PICS: Pairwise Image Compositing with Spatial Interactions.
Hang Zhou, Xinxin Zuo, Sen Wang, Li Cheng.
ICLR 2026. [Paper] [arXiv]
HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images.
Yichen Liu, Donghao Zhou, Jie Wang, Xin Gao, Guisheng Liu, Jiatong Li, Quanwei Zhang, Qiang Lyu, Lanqing Guo, Shilei Wen, Weiqiang Wang, Pheng-Ann Heng.
CVPR 2026. [Paper] [arXiv]
Continuous Control of Editing Models via Adaptive-Origin Guidance.
Alon Wolf, Chen Katzir, Kfir Aberman, Or Patashnik.
SIGGRAPH 2026. [Paper] [arXiv]
RemEdit: Efficient Diffusion Editing with Riemannian Geometry.
Eashan Adhikarla, Brian D. Davison.
arXiv 2026. [Paper]
RCEdit-500K: Reference Completion for Image-Conditioned Image Editing.
Jingxu Zhang, Daneul Kim, Yueming Pan, DONG CHEN, Kai Qiu, Yang Liu, Yifan Yang, Qi Dai, Xiaoyan Sun, Chong Luo.
ECCV 2026. [Paper]
UniDG: Universal Defect Generation via Defect-Context Editing.
Yuanting Fan, Jun Liu, Bin-Bin Gao, Xiaochen Chen, Yuhuan Lin, Zhewei Dai, Jiawei Zhan, Chengjie Wang.
NeurIPS 2026 (accepted). [Paper]
OrionEdit: Bridging Reference and Source Images for Generalized Cross-Image Editing.
Zeyu Jiang, Lai Man Po, Xuyuan Xu, Yexin Wang, Guoping Gong, Haoxuan Wu, Chenbo Yan, Kun Li, Yuyang Liu.
CVPR 2026. [Paper]
Multimodal-Guided Diffusion Model for Composite Image Lighting Adaptation via Curriculum Lighting Learning.
Zhirui Liu, Shangquan Sun, Renjing Pei, Chaopeng Li, Zhigao Cui, Fenglong Song, Hao Zheng, Wenqi Ren.
ACM MM 2026 (accepted). [Paper]
Rethinking Image Illumination Harmonization via Physics-Guided Diffusion Model.
Zhongyun Bao, Shuaishuai Liu, Changqing Geng, Feifei Wei, Gang Fu, Chunxia Xiao.
ACM MM 2026 (accepted). [Paper]
Portrait Illumination Harmonization in Image Compositing via Frequency-Aware Diffusion Model.
Chunxia Xiao, Zhongyun Bao, Liangyu Tu.
ACM MM 2026 (accepted). [Paper]
The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment.
Ziheng Ouyang, Yiren Song, Yaoli Liu, Shihao Zhu, Qibin Hou, Ming-Ming Cheng, Mike Zheng Shou.
CVPR 2026. [Paper] [arXiv]
Kontinuous Kontext: Continuous Strength Control for Instruction-based Image Editing.
Rishubh Parihar, Or Patashnik, Daniil Ostashev, Venkatesh Babu Radhakrishnan, Daniel Cohen-Or, Kuan-Chieh Jackson Wang.
CVPR 2026. [Paper] [arXiv]
Griffin: Generative Reference and Layout Guided Image Composition.
Aryan Mikaeili, Amirhossein Alimohammadi, Negar Hassanpour, Ali Mahdavi-Amiri, Andrea Tagliasacchi.
arXiv 2025. [Paper]
Does FLUX Already Know How to Perform Physically Plausible Image Composition?
Shilin Lu, Zhuming Lian, Zihan Zhou, Shaocong Zhang, Chen Zhao, Adams Kong.
ICLR 2026. [Paper] [arXiv]
FreeInsert : Personalized Object Insertion with Geometric and Style Control.
Yuhong Zhang, Han Wang, Yiwen Wang, Rong Xie, Li Song.
ACM MM 2025. [Paper] [arXiv]
CAMILA: Context-Aware Masking for Image Editing with Language Alignment.
Hyunseung Kim, Chiho Choi, Srikanth Malla, Sai Padmanabhan, Saurabh Bagchi, Joon Hee Choi.
NeurIPS 2025. [Paper] [arXiv] [DOI]
LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain Translation.
Xuqin Wang, Tao Wu, Yanfeng Zhang, Lu Liu, Dong Wang, Mingwei Sun, Yongliang Wang, Niclas Zeller, Daniel Cremers.
arXiv 2025. [Paper]
Disentangling Latent Embeddings with Sparse Linear Concept Cones (SLiCC).
Zhi Li, Hau Phan, Matthew Emigh, Austin J. Brockmeier.
arXiv 2025. [Paper]
Physically Controllable Relighting of Photographs.
Chris Careaga, Yağız Aksoy.
SIGGRAPH 2025. [Paper] [arXiv]
Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention.
Kyungmin Jo, Jooyeol Yun, Jaegul Choo.
CVPR 2025. [Paper]
Visually grounded emotion regulation via diffusion models and user-driven reappraisal.
Edoardo Pinzuti, Oliver Tüscher, André Ferreira Castro.
arXiv 2025. [Paper]
Inverse-and-Edit: Simple and Effective Framework for Fast Image Editing.
Ilia Beletskii, Andrey Kuznetsov, Aibek Alanov.
arXiv 2025. [Paper]
AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization.
Lanjiong Li, Guanhua Zhao, Lingting Zhu, Zeyu Cai, Lequan Yu, Jian Zhang, Zeyu Wang.
SIGGRAPH 2025. [Paper] [arXiv]
Cora: Correspondence-aware image editing using few step diffusion.
Amirhossein Alimohammadi, Aryan Mikaeili, Sauradip Nag, Negar Hassanpour, Andrea Tagliasacchi, Ali Mahdavi-Amiri.
SIGGRAPH 2025. [Paper] [arXiv]
ControlTac: Scaling Tactile Data with Physically Controlled Tactile Image Generation.
Dongyu Luo, Kelin Yu, Amir-Hossein Shahidzadeh, Cornelia Fermüller, Yiannis Aloimonos, Ruohan Gao.
arXiv 2025. [Paper]
A Controllable Appearance Representation for Flexible Transfer and Editing.
Santiago Jimenez-Navarro, Julia Guerrero-Viu, Belen Masia.
arXiv 2025. [Paper]
Insert Anything: Image Insertion via In-Context Editing in DiT.
Wensong Song, Hong Jiang, Zongxin Yang, Zheqiao Cheng, Ruijie Quan, Yi Yang.
AAAI 2026. [Paper] [arXiv]
Cobra: Efficient Line Art COlorization with BRoAder References.
Junhao Zhuang, Lingen Li, Xuan Ju, Zhaoyang Zhang, Chun Yuan, Ying Shan.
SIGGRAPH 2025. [Paper] [arXiv]
SPICE: A Synergistic, Precise, Iterative, and Customizable Image Editing Workflow.
Kenan Tang, Yanhong Li, Yao Qin.
arXiv 2025. [Paper]
DreamFuse: Adaptive Image Fusion with Diffusion Transformer.
Junjia Huang, Pengxiang Yan, Jiyang Liu, Jie Wu, Zhao Wang, Yitong Wang, Liang Lin, Guanbin Li.
ICCV 2025. [Paper] [arXiv]
Disentangling Instruction Influence in Diffusion Transformers for Parallel Multi-Instruction-Guided Image Editing.
Hui Liu, Bin Zou, Kecheng Chen, Suiyun Zhang, Rui Liu, Yifan Bai, Haoliang Li.
ACM MM 2026 (accepted). [Paper] [arXiv]
PBR-Inspired Controllable Diffusion for Image Generation.
Bowen Xue, Giuseppe Claudio Guarnera, Shuang Zhao, Zahra Montazeri.
arXiv 2025. [Paper]
Image Referenced Sketch Colorization Based on Animation Creation Workflow.
Dingkun Yan, Xinrui Wang, Zhuoru Li, Suguru Saito, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo.
CVPR 2025. [Paper] [arXiv]
IP-Composer: Semantic Composition of Visual Concepts.
Sara Dorfman, Dana Cohen-Bar, Rinon Gal, Daniel Cohen-Or.
arXiv 2025. [Paper]
PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models.
Aleksandar Cvejic, Abdelrahman Eldesokey, Peter Wonka.
SIGGRAPH 2025. [Paper] [arXiv]
LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer.
Yiren Song, Danze Chen, Mike Zheng Shou.
ICCV 2025. [Paper] [arXiv]
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting.
Yuxin Zhang, Minyan Luo, Weiming Dong, Xiao Yang, Haibin Huang, Chongyang Ma, Oliver Deussen, Tong-Yee Lee, Changsheng Xu.
SIGGRAPH 2025. [Paper] [arXiv]
SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces.
Sumit Chaturvedi, Mengwei Ren, Yannick Hold-Geoffroy, Jingyuan Liu, Julie Dorsey, Zhixin Shu.
CVPR 2025. [Paper] [arXiv]
KV-Edit: Training-Free Image Editing for Precise Background Preservation.
Tianrui Zhu, Shiyi Zhang, Jiawei Shao, Yansong Tang.
ICCV 2025. [Paper]
GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion.
Beibei Lin, Tingting Chen, Robby Tan.
NeurIPS 2025. [Paper] [DOI]
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM.
Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li.
ICML 2025. [Paper] [arXiv]
AnomalyControl: Learning Cross-modal Semantic Features for Controllable Anomaly Synthesis.
Shidan He, Lei Liu, Xiujun Shu, Bo Wang, Yuanhao Feng, Shen Zhao.
arXiv 2024. [Paper]
Pinco: Position-induced Consistent Adapter for Diffusion Transformer in Foreground-conditioned Inpainting.
Guangben Lu, Yuzhen Du, Yizhe Tang, Zhimin Sun, Ran Yi, Yifan Qi, Tianyi Wang, Lizhuang Ma, Fangyuan Zou.
ICCV 2025. [Paper] [arXiv]
Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment.
Yizhi Song, Liu He, Zhifei Zhang, Soo Ye Kim, HE Zhang, Wei Xiong, Zhe Lin, Brian Price, Scott Cohen, Jianming Zhang, Daniel Aliaga.
ICLR 2025. [Paper] [arXiv]
IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts.
Ciara Rowles, Shimon Vainer, Dante De Nigris, Slava Elizarov, Konstantin Kutsy, Simon Donné.
arXiv 2024. [Paper] [Code] [Project]
Magic Insert: Style-Aware Drag-and-Drop.
Nataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch, Michael Rubinstein, David E. Jacobs, Shlomi Fruchter.
ICCV 2025. [Paper] [arXiv]
pOps: Photo-Inspired Diffusion Operators.
Elad Richardson, Yuval Alaluf, Ali Mahdavi-Amiri, Daniel Cohen-Or.
SIGGRAPH 2025. [Paper] [arXiv]
An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control.
Aosong Feng, Weikang Qiu, Jinbin Bai, Zhen Dong, Kaicheng Zhou, Xiao Zhang, Rex Ying, Leandros Tassiulas.
AAAI 2025. [Paper] [arXiv]
Zero-shot Image Editing with Reference Imitation.
Xi Chen, Yutong Feng, Mengting Chen, Yiyang Wang, Shilong Zhang, Yu Liu, Yujun Shen, Hengshuang Zhao.
NeurIPS 2024. [Paper] [DOI]
CFDiffusion: Controllable Foreground Relighting in Image Compositing via Diffusion Model.
Ziqi Yu, Jing Zhou, Zhongyun Bao, Gang Fu, Weilei He, Chao Liang, Chunxia Xiao.
ACM MM 2024. [Paper]
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition.
Sicheng Mo, Fangzhou Mu, Kuan Heng Lin, Yanli Liu, Bochen Guan, Yin Li, Bolei Zhou.
arXiv 2023. [Paper]
Context Diffusion: In-Context Aware Image Generation.
Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic.
arXiv 2023. [Paper]
ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNet.
Soon Yau Cheong, Armin Mustafa, Andrew Gilbert.
arXiv 2023. [Paper]
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, Wei Yang.
arXiv 2023. [Paper]
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models.
Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong.
NeurIPS 2023. [Paper]
Prompt-Free Diffusion: Taking “Text” out of Text-to-Image Diffusion Models.
Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi.
arXiv 2023. [Paper]
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model.
Xingqian Xu, Zhangyang Wang, Eric Zhang, Kai Wang, Humphrey Shi.
ICCV 2023. [Paper]
Hierarchical Text-Conditional Image Generation with CLIP Latents.
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen.
arXiv 2022. [Paper]
SynthFaces: Balanced Large Scale Human Dataset.
Sergey Karpukhin, Denis Bobkov, Kirill Morozov, Aibek Alanov.
BMVC 2026 (accepted). [Paper]
TokenRepel: Generating Diverse Image Sets Without Compromising Quality.
Qingtao Yu, Zhen Wang, Ning Lai, Boyang Hu, Hongdong Li, Dylan Campbell.
arXiv 2026. [Paper]
A First-Step Bias Restores Lost Diversity in Diffusion Model Distillation.
Wenwu Tang, Dong Wang, Yun Cheng, Olga Saukh.
arXiv 2026. [Paper]
S$^2$-RL: Sample-Set Dual Reinforcement Learning for Generative Semantic Segmentation Dataset Distillation.
Haoyu Wang, Fei Zhou, Qingqing Qiu, Lei Zhang, Wei Wei, Chen Ding.
arXiv 2026. [Paper] [Project]
Histogram-constrained Image Generation.
Haoming Liu, Yuanhe Guo, Yijia Cao, Shenji Wan, Hongyi Wen.
arXiv 2026. [Paper]
Semantic Browsing: Controllable Diversity for Image Generation.
Sara Dorfman, Maya Vishnevsky, Omer Dahary, Or Patashnik, Danny Cohen-Or.
ECCV 2026. [Paper] [arXiv]
Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales.
Myeongsoo Kim, Eunji Kim, Minwoo Chae, Sangwoo Mo.
arXiv 2026. [Paper] [Project]
Colorful-Noise: Training-Free Low-Frequency Noise Manipulation for Color-Based Conditional Image Generation.
Nadav Z. Cohen, Ofir Abramovich, Ariel Shamir.
SIGGRAPH 2026. [Paper] [arXiv]
ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control.
Shelly Golan, Michael Finkelson, Ariel Bereslavsky, Yotam Nitzan, Or Patashnik.
NeurIPS 2026 (accepted). [Paper] [arXiv]
On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers.
Omer Dahary, Benaya Koren, Daniel Garibi, Daniel Cohen-Or.
SIGGRAPH 2026. [Paper] [arXiv]
GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation.
Ye Zhu, Kaleb Newman, Johannes F. Lutzeyer, Adriana Romero-Soriano, Michal Drozdzal, Olga Russakovsky.
ICML 2026. [Paper]
Breaking the Static: Dynamic Text Conditioning for Diverse Image Generation.
Meng Yu, Ruidong Chen, Qingfeng Shi, Yingmao Miao, Yancheng Bai, Lei Sun, Xiangxiang Chu, Hesheng Wang, Xiaodan Liang.
NeurIPS 2026 (accepted). [Paper]
Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Versatile Image Generation.
Jinmei Liu, Haoru Li, Zhenhong Sun, Chaofeng Chen, Yatao Bian, Bo Wang, Daoyi Dong, Chunlin Chen, Zhi Wang.
arXiv 2026. [Paper] [Code]
GRASP: Guided Residual Adapters with Sample-wise Partitioning.
Felix Nützel, Mischa Dombrowski, Bernhard Kainz.
arXiv 2025. [Paper] [Code]
Diversifying Long Prompt Image Generation through Structured Prompt Embedding Space Sampling.
Bo-Kai Ruan, Teng-Fang Hsiao, Ling Lo, Yi-Lun Wu, Hong-Han Shuai.
arXiv 2025. [Paper] [Code]
CLUE: Controllable Latent space of Unprompted Embeddings for Diversity Management in Text-to-Image Synthesis.
Keunwoo Park, Jihye Chae, Joong Ho Ahn, Jihoon Kweon.
arXiv 2025. [Paper]
Color Conditional Generation with Sliced Wasserstein Guidance.
Alexander Lobashev, Maria Larchenko, Dmitry Guskov.
NeurIPS 2025. [Paper] [arXiv] [DOI]
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation.
Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge.
ICLR 2025. [Paper]
Concept-centric Personalization with Large-scale Diffusion Priors.
Pu Cao, Lu Yang, Feng Zhou, Tianrui Huang, Qing Song.
arXiv 2023. [Paper]
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation Using Limited Data.
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan.
IJCV 2025. [Paper] [arXiv] [Code]
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment.
Zhipeng Bian, Jieming Zhu, Qijiong Liu, Wang Lin, Guohao Cai, Zhaocheng Du, Jiacheng Sun, Zhou Zhao, Zhenhua Dong.
arXiv 2026. [Paper]
Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation.
Zihao Wang, Yuxiang Wei, Xinpeng Zhou, Tianyu Zhang, Tao Liang, Yalong Bai, Hongzhi Zhang, Wangmeng Zuo.
CVPR 2026. [Paper] [arXiv]
Bridging the Intention-Expression Gap: Aligning Multi-Dimensional Preferences via Hierarchical Relevance Feedback in Text-to-Image Diffusion.
Wenxi Wang, Hongbin Liu, Mingqian Li, Junyan Yuan, Junqi Zhang.
arXiv 2026. [Paper]
Personalized Image Generation via Human-in-the-loop Bayesian Optimization.
Rajalaxmi Rajagopalan, Debottam Dutta, Yu-Lin Wei, Romit Roy Choudhury.
ICML 2026. [Paper] [arXiv]
Foundation Encoders Are All You Need for Preference-Aware Personalization.
Hyungjin Kim, Seokho Ahn, Young-Duk Seo.
CVPR 2026. [Paper]
Zero-Shot Image Personalization from Personas.
Harini S I, Somesh Singh, Yaman K Singla, David Doermann, Rajiv Shah.
ECCV 2026. [Paper]
PrefGen: Multimodal Preference Learning for Preference-Conditioned Image Generation.
Wenyi Mo, Tianyu Zhang, Yalong Bai, Ligong Han, Ying Ba, Dimitris N. Metaxas.
arXiv 2025. [Paper]
Personalized Reward Modeling for Text-to-Image Generation.
Jeongeun Lee, Ryang Heo, Dongha Lee.
ECCV 2026. [Paper] [arXiv]
Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization.
Connor Dunlop, Matthew Zheng, Kavana Venkatesh, Pinar Yanardag.
NeurIPS 2025. [Paper] [arXiv] [DOI]
Draw Your Mind: Personalized Generation via Condition-Level Modeling in Text-to-Image Diffusion Models.
Hyungjin Kim, Seokho Ahn, Young-Duk Seo.
ICCV 2025. [Paper] [arXiv]
Personalized Preference Fine-tuning of Diffusion Models.
Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song.
CVPR 2025. [Paper] [arXiv]
Personalized Visual Content Generation in Conversational Systems.
Xianquan Wang, Zhaocheng Du, Huibo Xu, Shukang Yin, Yupeng Han, Jieming Zhu, Kai Zhang, Qi Liu.
NeurIPS 2025. [Paper] [DOI]
Preference Adaptive and Sequential Text-to-Image Generation.
Ofir Nabati, Guy Tennenholtz, Chihwei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier.
ICML 2025. [Paper]
Spatially Gated Demographic Steering for Debiasing Multi-Person Text-to-Image Generation.
Venkatesh Thirugnana Sambandham, Torsten Schon.
arXiv 2026. [Paper]
FlashControl: One-Step Controllable Generator via Distillation-Friendly Single-Stream Teachers.
Ngan Nguyen, Dung Nguyen, Quan Dao, Dimitris N. Metaxas, Minh Hoai, Cuong Pham, Anh Tran.
arXiv 2026. [Paper]
From Prompting to Composing: A Spatial Canvas Interface for Poster Generation.
Yitong Wang, Fangyun Wei, Jinjing Zhao, Sirui Zhang, Hongyang Zhang, Dong Chen, Bo Dai, Yan Lu.
arXiv 2026. [Paper]
ProgressNet: Sketching and Prompting with a Frozen Text-to-Image Model.
Arkaprabha Basu, Chaitat Utintu, Yi-Zhe Song.
arXiv 2026. [Paper]
Paint Anything: Toward Any-Color Controllable Image Generation and Editing.
Ji Xie, Dewei Zhou, Xinyu Huang, Xun Wang.
NeurIPS 2026 (accepted). [Paper] [arXiv]
GazeDiT: Gaze-Accurate Diffusion Image Generation for Eye Tracking via Spatial Conditioning.
Dongze Wu, David Colmenares, Fengting Yang, Jogendra Nath Kundu, Yao Xie, Ali Behrooz, Conny Lu.
arXiv 2026. [Paper]
An End-to-End Automated Pipeline for Controllable Crack Data Synthesis.
Conghui Li, Muxin Pu, Chern Hong Lim, Weiyao Lin, Xin Wang.
arXiv 2026. [Paper]
AcFlow: Controlling Text-to-Image Diffusion Transformers via Learned Conditional Activation Flow.
Junran Wang, Zehao Jin, Tianyu Luan, Ruixuan Deng, Tian Qiu, Xinjie Shen.
arXiv 2026. [Paper]
SpatialGuard: Harness-Guided Verifiable Spatial Reasoning for Text-to-Image Generation.
Ziyun Qian, Zizhi Chen, Yizhou Liu, Mingyang Sun, Dingkang Yang, Lihua Zhang.
arXiv 2026. [Paper]
Grounding Free-Form Instructions for Fashion Complementary Image Generation.
Matteo Attimonelli, Claudio Pomo, Alessandro De Bellis, Danilo Danese, Dietmar Jannach, Tommaso Di Noia.
arXiv 2026. [Paper]
OccluRank: Controllable Occlusion-Aware Layout-to-Image Generation by Adding Just an Ordinal Rank.
Wenyang Hong, Yuan Wang, Yanbin Hao, Lanqing Xue, Ke Wang, Xiang Wang, Kuien Liu, Richang Hong.
arXiv 2026. [Paper]
Bridging Language and Spherical Space: Object-Centric Control for Text-to-Panorama Generation.
Derui Li, Qian Qiao, Yuhao Sun, Wenhao Guo, Peng Lu.
arXiv 2026. [Paper]
PoseAdapter: Dual-Stream 2.5D Controllable Image Generation for Complex Multi-Object Scenes.
Yufeng Chi, Huimin Ma, Fan Gao, Zhice Niu, Keqin Li, Jianmin Li.
ACM MM 2026 (accepted). [Paper] [arXiv]
InstancePin: Instance-Addressable Layout-to-Image Diffusion via Coordinate Pinning.
Chaoyue Wu, Yunfei Zhang, Si Wu.
arXiv 2026. [Paper]
Appearance Pointers -- Multimodal Region Control of Diffusion Transformers.
Rahul Sajnani, Yulia Gryaditskaya, Radomír Měch, Srinath Sridhar, Matheus Gadelha.
arXiv 2026. [Paper]
Think, Plan, Paint: Layout-Aware Reasoning for Controllable Image Generation in Unified Models.
Junhao Liu, Jian-Wei Zhang, Tao Huang, Miles Yang, Zhao Zhong, Liefeng Bo.
NeurIPS 2026 (accepted). [Paper] [arXiv]
InstanceControl: Controllable Complex Image Generation without Instance Labeling.
XIAOYU LIU, Huan Wang, FAN LI, Zhixing Wang, Jiaqi Xu, Ming LIU, Wangmeng Zuo.
ECCV 2026. [Paper] [arXiv]
One Image is All You Need: Agentic One-Shot Image Generation via Text-Based World Models for Long-Tail Spatial Perception.
Keqin Zeng, Shuting Su, Shihao Lin, Ziyue Li, Rui Zhao.
arXiv 2026. [Paper]
Anchor-Conditioned Compositional Control for Landscape Image Generation.
Gadha Lekshmi P, Govind Arun, Rohith Syam, Ahmed Elgammal.
arXiv 2026. [Paper]
AsyncPatch Diffusion: spatially-flexible image generation.
Samuele Papa, Valentin De Bortoli, Guillaume Couairon, Daniel Sýkora, Romuald Elie, Klaus Greff.
arXiv 2026. [Paper]
TrioPose: Native Triple-Stream Diffusion Transformers for Pose-Guided Text-to-Image Generation.
Dian Gu, Zhengyi Yang.
arXiv 2026. [Paper]
Semantic-Structural Alignment for Generative Pictorial Charts.
Zhida Sun, Yulin Zhang, Zheng Gu, Min Lu, Bongshin Lee, Daniel Cohen-Or, Hui Huang.
ACM TOG 2026. [Paper] [arXiv]
Envisioning Beyond the Few: Disentangled Semantics and Primitives for Few-Shot Atypical Layout-to-Image Generation.
Nan Bao, Yifan Zhao, Wenzhuang Wang, Jia Li.
ICML 2026. [Paper] [arXiv]
UniVL: Unified Vision-Language Embedding for Spatially Grounded Contextual Image Generation.
Jiayun Wang, Yu Wang, Weijie Gan, Zhenting Wang, Wei Wei.
arXiv 2026. [Paper]
OcclusionFormer: Arranging Z-Order for Layout-Grounded Image Generation.
Ziye Li, Henghui Ding.
ICML 2026. [Paper] [arXiv]
D2-CDIG: Controlled Diffusion Remote Sensing Image Generation with Dual Priors of DEM and Cloud-Fog.
Zuopeng Zhao, Ying Liu, Kanyaphakphachsorn Pharksuwan, Su Luo, Xiaoyu Li, Maocai Ning.
arXiv 2026. [Paper]
Efficient Geometry-Controlled High-Resolution Satellite Image Synthesis.
Vlad Vasilescu, Daniela Faur, Teodor Costachioiu.
arXiv 2026. [Paper]
Camera Control for Text-to-Image Generation via Learning Viewpoint Tokens.
Xinxuan Lu, Charless Fowlkes, Alexander C. Berg.
CVPR 2026. [Paper] [arXiv]
TokenLight: Precise Lighting Control in Images using Attribute Tokens.
Sumit Chaturvedi, Yannick Hold-Geoffroy, Mengwei Ren, Jingyuan Liu, He Zhang, Yiqun Mei, Julie Dorsey, Zhixin Shu.
CVPR 2026. [Paper] [arXiv]
Training-Free Object-Background Compositional T2I via Dynamic Spatial Guidance and Multi-Path Pruning.
Yang Deng, David Mould, Paul L. Rosin, Yu-Kun Lai.
arXiv 2026. [Paper]
GroundingAnomaly: Spatially-Grounded Diffusion for Few-Shot Anomaly Synthesis.
Yishen Liu, Hongcang Chen, Pengcheng Zhao, Yunfan Bao, Yuxi Tian, Jieming Zhang, Hao Chen, Zheng Zhi, Yongchun Liu, Ying Li, Dongpu Cao.
arXiv 2026. [Paper]
Improving Controllable Generation: Faster Training and Better Performance via x0-Supervision.
Amadou S. Sangare, Adrien Maglo, Mohamed Chaouch, Bertrand Luvison.
CVPR 2026. [Paper] [arXiv]
PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Models.
Lorenza Prospero, Orest Kupyn, Ostap Viniavskyi, João F. Henriques, Christian Rupprecht.
arXiv 2026. [Paper]
Agentic Flow Steering and Parallel Rollout Search for Spatially Grounded Text-to-Image Generation.
Ping Chen, Daoxuan Zhang, Xiangming Wang, Yungeng Liu, Haijin Zeng, Yongyong Chen.
arXiv 2026. [Paper]
EchoGen: Cycle-Consistent Learning for Unified Layout-Image Generation and Understanding.
Kai Zou, Hongbo Liu, Dian Zheng, Jianxiong Gao, Zhiwei Zhao, Bin Liu.
AAAI 2026. [Paper] [arXiv]
RSGen: Enhancing Layout-Driven Remote Sensing Image Generation with Diverse Edge Guidance.
Xianbao Hou, Yonghao He, Zeyd Boukhers, John See, Hu Su, Wei Sui, Cong Yang.
arXiv 2026. [Paper]
ChArtist: Generating Pictorial Charts with Unified Spatial and Subject Control.
Shishi Xiao, Tongyu Zhou, David H. Laidlaw, Gromit Yeuk-Yin Chan.
CVPR 2026. [Paper] [arXiv]
NumColor: Precise Numeric Color Control in Text-to-Image Generation.
Muhammad Atif Butt, Diego Hernandez, Alexandra Gomez-Villa, Kai Wang, Javier Vazquez-Corral, Joost Van De Weijer.
arXiv 2026. [Paper]
InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation.
Yuxin Qin, Ke Cao, Haowei Liu, Ao Ma, Fengheng Li, Honghe Zhu, Zheng Zhang, Run Ling, Wei Feng, Xuanhua He, Zhanjie Zhang, Zhen Guo, Haoyi Bian, Jingjing Lv, Junjie Shen, Ching Law.
CVPR 2026. [Paper] [arXiv]
Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers.
Ruidong Chen, Yancheng Bai, Xuanpu Zhang, Jianhao Zeng, Lanjun Wang, Dan Song, Lei Sun, Xiangxiang Chu, Anan Liu.
CVPR 2026. [Paper] [Project]
SeeThrough3D: Occlusion Aware 3D Control in Text-to-Image Generation.
Vaibhav Agrawal, Rishubh Parihar, Pradhaan S Bhat, Ravi Kiran Sarvadevabhatla, Venkatesh Babu Radhakrishnan.
CVPR 2026. [Paper] [arXiv]
CoLoGen: Progressive Learning of Concept-Localization Duality for Unified Image Generation.
Yuxin Song, Yu Lu, Haoyuan Sun, Huanjin Yao, Fanglong Liu, Yifan Sun, Haocheng Feng, Hang Zhou, Jingdong Wang.
CVPR 2026. [Paper] [arXiv]
BBQ-to-Image: Numeric Bounding Box and Qolor Control in Large-Scale Text-to-Image Models.
Eliran Kachlon, Alexander Visheratin, Nimrod Sarid, Tal Hacham, Eyal Gutflaish, Saar Huberman, Hezi Zisman, David Ruppin, Ron Mokady.
arXiv 2026. [Paper]
MultiDiffSense: Diffusion-Based Multi-Modal Visuo-Tactile Image Generation Conditioned on Object Shape and Contact Pose.
Sirine Bhouri, Lan Wei, Jian-Qing Zheng, Dandan Zhang.
arXiv 2026. [Paper]
Multi-Level Conditioning by Pairing Localized Text and Sketch for Fashion Image Generation.
Ziyue Liu, Davide Talon, Federico Girella, Zanxi Ruan, Mattia Mondo, Loris Bazzani, Yiming Wang, Marco Cristani.
arXiv 2026. [Paper]
Controlling Your Image via Simplified Vector Graphics.
Lanqing Guo, Xi Liu, Yufei Wang, Zhihao Li, Siyu Huang.
arXiv 2026. [Paper]
Rethinking Multi-Condition DiTs: Eliminating Redundant Attention via Position-Alignment and Keyword-Scoping.
Chao Zhou, Tianyi Wei, Yiling Chen, Wenbo Zhou, Nenghai Yu.
arXiv 2026. [Paper]
Localized Control in Diffusion Models via Latent Vector Prediction.
Pablo Domingo-Gregorio, Javier Ruiz-Hidalgo.
arXiv 2026. [Paper]
SimGraph: A Unified Framework for Scene Graph-Based Image Generation and Editing.
Thanh-Nhan Vo, Trong-Thuan Nguyen, Tam V. Nguyen, Minh-Triet Tran.
arXiv 2026. [Paper]
A Temporal and Content Co-Awareness Latent Diffusion for Controllable Hand Image Generation.
Shuang Hao, Pengfei Ren, Haifeng Sun, Ting Pan, Qi Qi, Lei Zhang, Cong Liu, Jianxin Liao, Jingyu Wang.
CVPR 2026. [Paper]
I-DRUID: Layout to image generation via instance-disentangled representation and unpaired data.
Fengxiang Yang, Tianyi Zheng, Bangjie Yin, Shice Liu, Jinwei Chen, Peng-Tao Jiang, Bo Li.
ICLR 2026. [Paper]
AnyCanvas: Potential Field Guidance for Training-Free Spatial Control in Text-to-Image Diffusion.
Tianyi Xie, Zhiyuan Yu, Kaihong Huang, Beilun Wang, Zhaoyang Wang, Dian Shen.
ICML 2026. [Paper]
SGP2: Coarse-to-Fine Controllable Multimodal Remote Sensing Image Generation.
Pengyu Chen, Xi Yang, Nannan Wang.
ECCV 2026. [Paper]
TerraDiT-Ω: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive.
Brian Wei, Srikumar Sastry, Daniel Cher, Eric Xing, Nathan Jacobs.
ECCV 2026. [Paper]
MetaPoint: Unlocking Precise Spatial Control in Visual Generation.
Dewei Zhou, Xinyu Huang, Xun Wang, Ji Xie, Yabo Zhang, Liang Li, Kunchang Li, Zongxin Yang, Yi Yang.
ECCV 2026. [Paper]
FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation.
Bonan Li, Yinhan Hu, Songhua Liu, Zeyu Xiao, Xinchao Wang.
AAAI 2026. [Paper]
Any2RSI: Controllable Remote Sensing Text-to-Image Generation via Any Control and Enriched Description.
Xu Zhang, Jianzhong Huang, Lefei Zhang.
AAAI 2026. [Paper]
RatioMorph: Controllable Diffusion Framework for Automotive Viewpoint and Proportion Manipulation in Vehicle Design.
Haeji Go, Jae-Hun Lee, Shinyeong Noh, Kayoung Kim, Kyuseong Lim, Jee Eun Song, Mingyu Lee, Joowan Sung, Soonbeom Kwon, Myoungbok Shin, Junsang Park.
AAAI 2026. [Paper]
HumanFlow: Controllable Human Image Generation via Flow Matching.
Wenzhuo Fan, Hongsheng Zheng, Jianchi Sun, Fei Fang, Hong Ding, Chunxia Xiao.
ACM TOG 2026. [Paper]
Support-Aware Transmittance Refinement for Fine-Grained Occlusion Control in Image Generation.
Wan Jiang, Wenle Yu, Xue Wang, Xiaojing Chen, Hui Zhang, Jingjing Wu, Shengeng Tang, Richang Hong.
ACM MM 2026 (accepted). [Paper]
AnomalyBrush: Highly-Aligned Anomaly Image Generation with a Dual-Branch Diffusion Model.
Gaoxiang Li, Min Ren, Ying Zhang, Linxin Zhang, Yongzhen Huang.
ACM MM 2026 (accepted). [Paper]
Making Your Object Camouflage: A Training-Free Diffusion Model for Controllable Camouflaged Image Generation.
Guojin Zhong, Qianjun Zhang, Jin Yuan, Xuan Liu.
ACM MM 2026 (accepted). [Paper]
RealCamo: Boosting Real Camouflage Synthesis with Layout Controls and Textual-Visual Guidance.
Chunyuan Chen, Yunuo Cai, Shujuan Li, Weiyun Liang, Bin Wang, Jing Xu.
arXiv 2025. [Paper]
InfSplign: Inference-Time Spatial Alignment of Text-to-Image Diffusion Models.
Sarah Rastegar, Violeta Chatalbasheva, Sieger Falkena, Anuj Singh, Yanbo Wang, Tejas Gokhale, Hamid Palangi, Hadi Jamali-Rad.
arXiv 2025. [Paper]
LumiCtrl : Learning Illuminant Prompts for Lighting Control in Personalized Text-to-Image Models.
Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral, Joost Van De Weijer.
arXiv 2025. [Paper]
ControlVP: Interactive Geometric Refinement of AI-Generated Images with Consistent Vanishing Points.
Ryota Okumura, Kaede Shiohara, Toshihiko Yamasaki.
arXiv 2025. [Paper]
MagicQuill V2: Precise and Interactive Image Editing with Layered Visual Cues.
Zichen Liu, Yue Yu, Hao Ouyang, Qiuyu Wang, Shuailei Ma, Ka Leong Cheng, Wen Wang, Qingyan Bai, Yuxuan Zhang, Yanhong Zeng, Yixuan Li, Xing Zhu, Yujun Shen, Qifeng Chen.
CVPR 2026. [Paper] [arXiv]
NumeriKontrol: Adding Numeric Control to Diffusion Transformers for Instruction-based Image Editing.
Zhenyu Xu, Xiaoqi Shen, Haotian Nan, Xinyu Zhang.
arXiv 2025. [Paper]
ConsistCompose: Unified Multimodal Layout Control for Image Composition.
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CVPR 2026. [Paper] [arXiv]
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ICLR 2024. [Paper]
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NeurIPS 2024. [Paper] [DOI]
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AAAI 2025. [Paper] [arXiv]
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ACM MM 2024. [Paper] [arXiv]
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ACM MM 2025. [Paper] [arXiv]
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ICLR 2024. [Paper]
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ICLR 2024. [Paper]
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ICCV 2023. [Paper]
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ICLR 2024. [Paper]
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ICLR 2024. [Paper]
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ICCV 2023. [Paper]
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CVPR 2023. [Paper]
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CVPR 2023. [Paper]
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ICCV 2023. [Paper]
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CVPR 2023. [Paper]
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ACM MM 2026 (accepted). [Paper] [arXiv]
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ICML 2026. [Paper] [arXiv]
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ICML 2026. [Paper] [arXiv]
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CVPR 2026. [Paper] [Code]
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ICLR 2026. [Paper] [arXiv]
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CVPR 2026. [Paper] [arXiv]
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CVPR 2026. [Paper] [arXiv]
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CVPR 2026. [Paper] [arXiv]
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CVPR 2026. [Paper] [arXiv]
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ICLR 2026. [Paper] [arXiv]
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ICML 2026. [Paper] [arXiv]
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ICML 2026. [Paper]
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ECCV 2026. [Paper]
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ICML 2026. [Paper]
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ACM MM 2026 (accepted). [Paper]
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ECCV 2026. [Paper]
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ICML 2026. [Paper]
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ACM MM 2026 (accepted). [Paper] [arXiv]
AgentComp: From Agentic Reasoning to Compositional Mastery in Text-to-Image Models.
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arXiv 2025. [Paper]
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arXiv 2025. [Paper]
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CVPR 2026. [Paper]
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CVPR 2026. [Paper] [arXiv]
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ICLR 2026. [Paper] [arXiv]
FOCUS: Optimal Control for Multi-Entity World Modeling in Text-to-Image Generation.
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arXiv 2025. [Paper]
IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance.
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ICCV 2025. [Paper] [Code]
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ICML 2026. [Paper] [arXiv]
No Concept Left Behind: Test-Time Optimization for Compositional Text-to-Image Generation.
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ICLR 2026. [Paper] [arXiv]
PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting.
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arXiv 2025. [Paper]
MEPG:Multi-Expert Planning and Generation for Compositionally-Rich Image Generation.
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ICLR 2026. [Paper] [arXiv]
T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation.
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ICCV 2025. [Paper] [arXiv]
Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling.
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ICCV 2025. [Paper] [arXiv]
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ICLR 2026. [Paper] [Code]
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arXiv 2025. [Paper]
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CVPR 2026. [Paper] [arXiv]
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NeurIPS 2025. [Paper] [arXiv] [DOI]
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NeurIPS 2025. [Paper] [arXiv] [DOI]
DetailMaster: Can Your Text-to-Image Model Handle Long Prompts?
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ICML 2026. [Paper] [arXiv]
Improving Compositional Generation with Diffusion Models Using Lift Scores.
Chenning Yu, Sicun Gao.
ICML 2025. [Paper] [arXiv]
CompAlign: Improving Compositional Text-to-Image Generation with a Complex Benchmark and Fine-Grained Feedback.
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CVPR 2025. [Paper] [arXiv]
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ICCV 2025. [Paper] [arXiv]
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CVPR 2025. [Paper] [arXiv]
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CVPR Workshops 2025. [Paper] [Project]
MoEdit: On Learning Quantity Perception for Multi-object Image Editing.
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CVPR 2025. [Paper] [arXiv]
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NeurIPS 2025. [Paper] [arXiv] [DOI]
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arXiv 2025. [Paper]
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ICML 2025. [Paper] [arXiv]
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ICCV 2025. [Paper]
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arXiv 2024. [Paper]
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CVPR 2025. [Paper] [arXiv]
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arXiv 2024. [Paper]
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ICLR 2025. [Paper] [arXiv]
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CVPR 2025. [Paper] [arXiv]
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks.
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arXiv 2024. [Paper]
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CVPR 2025. [Paper] [arXiv]
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NeurIPS 2024. [Paper] [arXiv] [DOI]
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ICLR 2025. [Paper] [arXiv]
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NeurIPS 2024. [Paper] [arXiv] [DOI]
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CVPR 2025. [Paper] [arXiv]
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ICLR 2025. [Paper] [arXiv]
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ICML 2025. [Paper] [arXiv]
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ICLR 2025. [Paper] [arXiv]
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NeurIPS 2024. [Paper] [arXiv] [DOI]
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ICLR 2025. [Paper] [arXiv]
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arXiv 2024. [Paper]
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arXiv 2024. [Paper]
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arXiv 2024. [Paper]
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arXiv 2024. [Paper]
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arXiv 2024. [Paper]
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TVCG 2025. [Paper] [arXiv]
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ECCV 2024. [Paper]
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arXiv 2024. [Paper]
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arXiv 2024. [Paper]
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CVPR 2024. [Paper]
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CVPR 2024. [Paper]
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BMVC 2023. [Paper]
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NeurIPS 2023. [Paper]
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ICCV 2023. [Paper]
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CVPR 2026. [Paper] [arXiv]
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arXiv 2026. [Paper]
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CVPR 2026. [Paper] [arXiv]
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arXiv 2025. [Paper]
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CVPR 2026. [Paper] [arXiv]
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arXiv 2025. [Paper]
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arXiv 2025. [Paper]
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ICCV 2025. [Paper] [arXiv]
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ICCV 2025. [Paper] [arXiv]
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SIGGRAPH Asia 2025. [Paper] [arXiv]
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NeurIPS 2025. [Paper] [arXiv] [DOI]
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ICCV 2025. [Paper] [arXiv] [Code] [Project]
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ICCV 2025. [Paper] [arXiv]
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ICCV 2025. [Paper] [arXiv]
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ICCV 2025. [Paper] [arXiv]
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ICML 2025. [Paper] [Project]
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arXiv 2025. [Paper]
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AAAI 2025. [Paper] [arXiv]
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arXiv 2024. [Paper] [Code] [Project]
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NeurIPS 2026 (accepted). [Paper] [Proceedings]
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arXiv 2026. [Paper]
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arXiv 2026. [Paper]
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arXiv 2025. [Paper]
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arXiv 2025. [Paper]
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arXiv 2025. [Paper]
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ICLR 2026. [Paper] [arXiv]
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arXiv 2025. [Paper]
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arXiv 2025. [Paper]
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arXiv 2025. [Paper]
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arXiv 2025. [Paper]
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arXiv 2025. [Paper]
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AAAI 2025. [Paper] [arXiv]
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AAAI 2025. [Paper]
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ICML 2025. [Paper]
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AAAI 2025. [Paper] [arXiv]
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ICML 2024. [Paper] [arXiv] [Code]
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arXiv 2023. [Paper]
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ICDIP 2023. [Paper]
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ACM MM 2023. [Paper]
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Scientific Reports 2023. [Paper]
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CVPR 2023. [Paper]
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CVPR 2023. [Paper]
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ACM Multimedia Asia 2025. [Paper]
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ACM MM 2025. [Paper] [arXiv]
SounDiT: Geo-Contextual Soundscape-to-Landscape Generation.
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arXiv 2025. [Paper] [Project]
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AAAI 2026. [Paper] [arXiv]
SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models.
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arXiv 2024. [Paper]
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arXiv 2026. [Paper]
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arXiv 2026. [Paper]
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ICML 2026. [Paper] [arXiv]
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CVPR 2026. [Paper] [arXiv]
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ECCV 2026. [Paper] [arXiv]
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CVPR 2026. [Paper] [arXiv]
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AAAI 2026. [Paper] [arXiv]
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ICML 2026. [Paper] [arXiv]
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AAAI 2026. [Paper]
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SIGGRAPH Asia 2025. [Paper] [arXiv]
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ICLR 2026. [Paper] [arXiv]
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AAAI 2026. [Paper]
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CVPR 2025. [Paper] [arXiv]
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CVPR 2025. [Paper] [arXiv]
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CVPR 2025. [Paper] [arXiv]
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ICML 2025. [Paper]
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ICCV 2025. [Paper] [arXiv]
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CVPR 2025. [Paper] [arXiv]
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CVPR 2025. [Paper] [arXiv]
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ACM MM 2025. [Paper] [arXiv]
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NeurIPS 2024. [Paper] [arXiv] [DOI]
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ICCV 2025. [Paper] [arXiv]
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AAAI 2025. [Paper]
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arXiv 2024. [Paper] [Project]
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arXiv 2024. [Paper]
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AAAI 2024. [Paper]
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arXiv 2023. [Paper]
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NeurIPS 2023. [Paper]
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arXiv 2023. [Paper]
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NeurIPS 2026 (accepted). [Paper]
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arXiv 2026. [Paper]
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arXiv 2026. [Paper]
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arXiv 2026. [Paper]
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CVPR 2026. [Paper]
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CVPR 2026. [Paper] [arXiv]
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CVPR 2026. [Paper] [arXiv]
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SIGGRAPH 2026. [Paper] [arXiv]
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ICLR 2026. [Paper] [arXiv]
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CVPR 2026. [Paper] [arXiv]
ComposeMe: Attribute-Specific Image Prompts for Controllable Human Image Generation.
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SIGGRAPH Asia 2025. [Paper] [arXiv]
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CVPR 2026. [Paper] [arXiv]
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ICLR 2026. [Paper] [arXiv]
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AAAI 2026. [Paper] [arXiv]
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NeurIPS 2025. [Paper] [arXiv] [DOI]
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AAAI 2026. [Paper] [arXiv]
MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization.
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arXiv 2025. [Paper]
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AAAI 2026. [Paper] [arXiv]
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ICCV 2025. [Paper] [arXiv]
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arXiv 2025. [Paper] [Code] [Project]
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ICLR 2025. [Paper] [arXiv]
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arXiv 2025. [Paper]
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ICLR 2026. [Paper] [arXiv]
FaR: Enhancing Multi-Concept Text-to-Image Diffusion via Concept Fusion and Localized Refinement.
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arXiv 2025. [Paper]
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AAAI 2025. [Paper] [arXiv]
STAY Diffusion: Styled Layout Diffusion Model for Diverse Layout-to-Image Generation.
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arXiv 2025. [Paper]
UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer.
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ICCV 2025. [Paper] [arXiv]
SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization.
Shubhankar Borse, Kartikeya Bhardwaj, Mohammad Reza Karimi Dastjerdi, Hyojin Park, Shreya Kadambi, Shobitha Shivakumar, Prathamesh Mandke, Ankita Nayak, Harris Teague, Munawar Hayat, Fatih Porikli.
arXiv 2025. [Paper]
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SIGGRAPH Asia 2025. [Paper] [arXiv]
FashionComposer: Compositional Fashion Image Generation.
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SIGGRAPH 2025. [Paper] [arXiv]
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation.
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CVPR 2025. [Paper] [arXiv]
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models.
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AAAI 2025. [Paper] [arXiv]
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition.
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arXiv 2024. [Paper]
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arXiv 2024. [Paper]
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models.
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arXiv 2024. [Paper]
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arXiv 2024. [Paper]
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models.
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arXiv 2024. [Paper]
OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On.
Yuhao Xu, Tao Gu, Weifeng Chen, Arlene Chen.
AAAI 2025. [Paper] [arXiv]
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation.
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NeurIPS 2023. [Paper]
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention.
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arXiv 2023. [Paper]
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ICCV 2023. [Paper]
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ICML 2023. [Paper]
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arXiv 2026. [Paper]
CLASP: Continual Low-rank Adapters for Spatially Placed Concepts from One Hypernetwork.
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arXiv 2026. [Paper]
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Javad Parsa, Enis Simsar, Amir Joudaki, Thomas Hofmann, André M. H. Teixeira.
arXiv 2026. [Paper]
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ICML 2026. [Paper]
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AAAI 2026. [Paper]
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ICCV 2025. [Paper]
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CVPR 2025. [Paper] [arXiv]
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
Jiahua Dong, Wenqi Liang, Hongliu Li, Duzhen Zhang, Meng Cao, Henghui Ding, Salman Khan, Fahad S. Khan.
NeurIPS 2024. [Paper] [arXiv] [DOI]
Low-Rank Continual Personalization of Diffusion Models.
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SCOPE @ ICLR 2025. [Paper] [Code]
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models.
Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji.
ICLR 2025. [Paper] [Project]
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models.
Xiyu Wang, Yufei Wang, Satoshi Tsutsui, Weisi Lin, Bihan Wen, Alex Kot.
ACM MM 2024. [Paper] [arXiv]
MuseumMaker: Continual Style Customization without Catastrophic Forgetting.
Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong.
arXiv 2024. [Paper]
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers.
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arXiv 2024. [Paper]
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arXiv 2023. [Paper]
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arXiv 2023. [Paper]
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arXiv 2023. [Paper]
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Shenghe Zheng, Minyu Zhang, Tianhao Liu, Hongzhi Wang.
arXiv 2026. [Paper]
OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models.
Ali Aliev, Kamil Garifullin, Nikolay Yudin, Vera Soboleva, Alexander Molozhavenko, Ivan Oseledets, Aibek Alanov, Maxim Rakhuba.
CVPR 2026. [Paper] [arXiv]
CRAFT-LoRA: Content-Style Personalization via Rank-Constrained Adaptation and Training-Free Fusion.
Yu Li, Yujun Cai, Chi Zhang.
CVPR 2026. [Paper] [arXiv]
Expanding the Content-Style Frontier: a Balanced Subspace Blending Approach for Content-Style LoRA Fusion.
Linhao Huang.
arXiv 2025. [Paper]
CharCom: Composable Identity Control for Multi-Character Story Illustration.
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arXiv 2025. [Paper]
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers.
Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag.
NeurIPS 2025. [Paper] [arXiv] [DOI]
DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization.
Aniket Roy, Shubhankar Borse, Shreya Kadambi, Debasmit Das, Shweta Mahajan, Risheek Garrepalli, Hyojin Park, Ankita Nayak, Rama Chellappa, Munawar Hayat, Fatih Porikli.
ICCV 2025. [Paper] [arXiv]
Cached Multi-Lora Composition for Multi-Concept Image Generation.
Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao.
ICLR 2025. [Paper] [arXiv]
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation.
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ICCV 2025. [Paper]
B4M: Breaking Low-Rank Adapter for Making Content-Style Customization.
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ACM TOG 2025. [Paper]
K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs.
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CVPR 2025. [Paper]
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models.
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CVPR 2025. [Paper] [Project]
Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation.
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ICCV 2025. [Paper] [arXiv]
Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization.
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arXiv 2024. [Paper]
LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models.
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arXiv 2024. [Paper]
Orthogonal Adaptation for Modular Customization of Diffusion Models.
Ryan Po, Guandao Yang, Kfir Aberman, Gordon Wetzstein.
arXiv 2023. [Paper]
ZipLoRA- Any Subject in Any Style by Effectively Merging LoRAs.
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arXiv 2023. [Paper]
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NeurIPS 2023. [Paper]
Cones- Concept Neurons in Diffusion Models for Customized Generation.
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ICML 2023. [Paper]
Multi-Concept Customization of Text-to-Image Diffusion.
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CVPR 2023. [Paper]
DiffAuction: An Auction-Driven Framework for Generative Image Advertising.
Yijie Su, Ruiyang Si, Tonghan Wang.
arXiv 2026. [Paper]
Training-Free Multi-Concept Image Editing.
Niki Maria Foteinopoulou, Ignas Budvytis, Stephan Liwicki.
ECCV 2026. [Paper] [arXiv]
StoryTailor:A Zero-Shot Pipeline for Action-Rich Multi-Subject Visual Narratives.
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CVPR 2026. [Paper]
AnyMS: Bottom-up Attention Decoupling for Layout-guided and Training-free Multi-subject Customization.
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arXiv 2025. [Paper]
ShowFlow: From Robust Single Concept to Condition-Free Multi-Concept Generation.
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arXiv 2025. [Paper]
Controllable Coupled Image Generation via Diffusion Models.
Chenfei Yuan, Nanshan Jia, Hangqi Li, Peter W. Glynn, Zeyu Zheng.
arXiv 2025. [Paper]
Be Decisive: Noise-Induced Layouts for Multi-Subject Generation.
Omer Dahary, Yehonathan Cohen, Or Patashnik, Kfir Aberman, Daniel Cohen-Or.
arXiv 2025. [Paper]
MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing.
Zinan Guo, Pengze Zhang, Yanze Wu, Chong Mou, Songtao Zhao, Qian He.
arXiv 2025. [Paper] [Project]
Multi-party Collaborative Attention Control for Image Customization.
Han Yang, Chuanguang Yang, Qiuli Wang, Zhulin An, Weilun Feng, Libo Huang, Yongjun Xu.
CVPR 2025. [Paper] [arXiv]
Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention.
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arXiv 2024. [Paper]
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis.
Zebin Yao, Fangxiang Feng, Ruifan Li, Xiaojie Wang.
AAAI 2025. [Paper] [arXiv]
Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation.
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arXiv 2024. [Paper]
MultiBooth: Towards Generating All Your Concepts in an Image from Text.
Chenyang Zhu, Kai Li, Yue Ma, Chunming He, Li Xiu.
arXiv 2024. [Paper]
MC^2: Multi-concept Guidance for Customized Multi-concept Generation.
Jiaxiu Jiang, Yabo Zhang, Kailai Feng, Xiaohe Wu, Wenbo Li, Renjing Pei, Fan Li, Wangmeng Zuo.
CVPR 2025. [Paper] [arXiv]
PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering.
Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin.
ACM MM 2024. [Paper] [arXiv]
Cones 2- Customizable Image Synthesis with Multiple Subjects .
Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao.
arXiv 2023. [Paper]
Mix-of-Show- Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou.
NeurIPS 2023. [Paper]
Logical Guidance of Stochastic Interpolants.
Gerrit Gerhartz, Francesco Alesiani, Jonathan Warrell, Henrik Christiansen, Matheus Ferraz, Mathias Niepert.
arXiv 2026. [Paper]
MultiCompose: Multi-Concept Personalized Composition with Per-Subject Attribute Binding.
Ruirui Zhang, Zhengkai Zhao, Pan Gao.
ACM MM 2026 (accepted). [Paper] [arXiv]
Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting.
Georgios Tsoumplekas, Stella Bounareli, Vasileios Argyriou.
arXiv 2026. [Paper]
EPIC: Efficient Predicate-Guided Inference-Time Control for Compositional Text-to-Image Generation.
Sunung Mun, Sunghyun Cho, Jungseul Ok.
NeurIPS 2026 (accepted). [Paper] [arXiv]
Controllable Image Generation with Composed Parallel Token Prediction.
Jamie Stirling, Noura Al-Moubayed, Chris G. Willcocks, Hubert P. H. Shum.
arXiv 2026. [Paper]
Logical Guidance for the Exact Composition of Diffusion Models.
Francesco Alesiani, Jonathan H Warrell, Tanja Bien, Henrik Christiansen, Matheus Ferraz, Mathias Niepert.
ICML 2026. [Paper] [arXiv]
Composition of Pretrained Diffusion Models: A Logic-Based Calculus.
Peter Blohm, Vikas Garg.
ICLR 2026. [Paper]
Plug-and-Play Multi-Concept Adaptive Blending for High-Fidelity Text-to-Image Synthesis.
Young-Beom Woo.
arXiv 2025. [Paper]
Steer Away From Mode Collisions: Improving Composition In Diffusion Models.
Debottam Dutta, Jianchong Chen, Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury.
ICLR 2026. [Paper] [Code]
LoRAtorio: An intrinsic approach to LoRA Skill Composition.
Niki Foteinopoulou, Ignas Budvytis, Stephan Liwicki.
arXiv 2025. [Paper]
Style Composition within Distinct LoRA modules for Traditional Art.
Jaehyun Lee, Wonhark Park, Wonsik Shin, Hyunho Lee, Hyoung Min Na, Nojun Kwak.
arXiv 2025. [Paper]
CoInD: Enabling Logical Compositions in Diffusion Models.
Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti.
ICLR 2025. [Paper] [arXiv]
FlipConcept: Tuning-Free Multi-Concept Personalization for Text-to-Image Generation.
Young Beom Woo, Sun Eung Kim, Seong-Whan Lee.
arXiv 2025. [Paper]
TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation.
Gihyun Kwon, Jong Chul Ye.
ICLR 2025. [Paper] [Code]
DreamWalk: Style Space Exploration using Diffusion Guidance.
Michelle Shu, Charles Herrmann, Richard Strong Bowen, Forrester Cole, Ramin Zabih.
arXiv 2024. [Paper]
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely With Isolated Diffusion Guidance.
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan.
TVCG 2025. [Paper] [arXiv]
Images that Sound: Composing Images and Sounds on a Single Canvas.
Ziyang Chen, Daniel Geng, Andrew Owens.
NeurIPS 2024. [Paper] [DOI]
Concept-centric Personalization with Large-scale Diffusion Priors.
Pu Cao, Lu Yang, Feng Zhou, Tianrui Huang, Qing Song.
arXiv 2023. [Paper]
High-fidelity Person-centric Subject-to-Image Synthesis.
Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin.
arXiv 2023. [Paper]
Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models.
Luozhou Wang, Guibao Shen, Wenhang Ge, Guangyong Chen, Yijun Li, Ying-cong Chen.
arXiv 2023. [Paper]
Collaborative Diffusion for Multi-Modal Face Generation and Editing.
Ziqi Huang, Kelvin C. K. Chan, Yuming Jiang, Ziwei Liu.
CVPR 2023. [Paper]
FrameForge: Harnessing Priors of Video Foundation Models for Unified Image Generation.
Yijing Lin, Zhendong Mao, Mengqi Huang, Yuxin Wang, Yongdong Zhang.
arXiv 2026. [Paper]
Omni-RS: Unifying Multi-Task Understanding and Generation in Remote Sensing.
Pan Yin, Shuai Yang, Yuanhao Liu, Datao Tang, Jialin Li, Hao Wang, Pei Liu, Kaiyu Li, Cong Zhao, Xiangyong Cao.
arXiv 2026. [Paper]
OmniRSI: Taming Latent Diffusion for Unified Multimodal Remote Sensing Image Generation.
Hebaixu Wang, Jing Zhang, Haonan Guo, Di Wang, Jiayi Ma, Bo Du.
arXiv 2026. [Paper]
UniGP: Taming Diffusion Transformer for Prior-Preserved Unified Generation and Perception.
Qin Guo, Hao Luo, Dongxu Yue, Weixuan Jin, Xiao Fu, Fan Wang, Dan Xu.
arXiv 2026. [Paper]
UniCustom: Unified Visual Conditioning for Multi-reference Image Generation.
Yiyan Xu, Qiulin Wang, Wenjie Wang, Yunyao Mao, Xintao Wang, Pengfei Wan, Kun Gai, Fuli Feng.
NeurIPS 2026 (accepted). [Paper] [arXiv]
HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer.
Qi Cai, Jingwen Chen, Chengmin Gao, Zijian Gong, Yehao Li, Yingwei Pan, Yi Peng, Zhaofan Qiu, Kai Yu, Yiheng Zhang, Hao Ai, Siying Bai, Yang Chen, Zhihui Chen, Fengbin Gao, Ying Guo, Dong Li, Zhen Shen, Leilei Shi, Jing Wang, Siyu Wang, Yimeng Wang, Rui Zheng, Ting Yao, Tao Mei.
arXiv 2026. [Paper]
Qwen-Image-2.0 Technical Report.
Bing Zhao, Chenfei Wu, Deqing Li, Hao Meng, Jiahao Li, Jie Zhang, Jingren Zhou, Junyang Lin, Kaiyuan Gao, Kuan Cao, Kun Yan, Liang Peng, Lihan Jiang, Niantong Li, Ningyuan Tang, Shengming Yin, Tianhe Wu, Xiao Xu, Xiaoyue Chen, Xihua Wang, Yan Shu, Yanran Zhang, Yi Wang, Yilei Chen, Ying Ba, Yixian Xu, Yujia Wu, Yuxiang Chen, Zecheng Tang, Zekai Zhang, Zhendong Wang, Zihao Liu, Zikai Zhou, An Yang, Chen Cheng, Chenxu Lv, Dayiheng Liu, Fan Zhou, Hantian Xiong, Hongzhu Shi, Hu Wei, Huihong Zhao, Ivy Liu, Jianwei Zhang, Jiawei Zhang, Kai Chen, Kang He, Levon Xue, Lin Qu, Linhan Tang, Luwen Feng, Minggang Wu, Minmin Sun, Na Ni, Rui Men, Shuai Bai, Sishou Zheng, Tao Lan, Tianqi Zhang, Tingkun Wen, Wei Wang, Weixu Qiao, Weiyi Lu, Wenmeng Zhou, Xiaodong Deng, Xiaoxiao Xu, Xinlei Fang, Xionghui Chen, Yanan Wang, Yang Fan, Yichang Zhang, Yixuan Xu, Yu Wu, Zhiyuan Ma, Zhizhi Cai.
arXiv 2026. [Paper]
Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning.
Zijun Shen, Ruichuan An, Sihan Yang, Ziyu Guo, Hao Liang, Ming Lu, Renrui Zhang, Wentao Zhang.
NeurIPS 2026 (accepted). [Paper] [arXiv]
JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation.
Lin Song, Wenbo Li, Guoqing Ma, Wei Tang, Bo Wang, Yuan Zhang, Yijun Yang, Yicheng Xiao, Jianhui Liu, Yanbing Zhang, Guohui Zhang, Wenhu Zhang, Hang Xu, Nan Jiang, Xin Han, Haoze Sun, Maoquan Zhang, Haoyang Huang, Nan Duan.
arXiv 2026. [Paper]
Wan-Image: Pushing the Boundaries of Generative Visual Intelligence.
Chaojie Mao, Chen-Wei Xie, Chongyang Zhong, Haoyou Deng, Jiaxing Zhao, Jie Xiao, Jinbo Xing, Jingfeng Zhang, Jingren Zhou, Jingyi Zhang, Jun Dan, Kai Zhu, Kang Zhao, Keyu Yan, Minghui Chen, Pandeng Li, Shuangle Chen, Tong Shen, Yu Liu, Yue Jiang, Yulin Pan, Yuxiang Tuo, Zeyinzi Jiang, Zhen Han, Ang Wang, Bang Zhang, Baole Ai, Bin Wen, Boang Feng, Feiwu Yu, Gang Wang, Haiming Zhao, He Kang, Jianjing Xiang, Jianyuan Zeng, Jinkai Wang, Junjie Zhou, Ke Sun, Linqian Wu, Pei Gong, Pingyu Wu, Ruiwen Wu, Tongtong Su, Wenmeng Zhou, Wenting Shen, Wenyuan Yu, Xianjun Xu, Xiaoming Huang, Xiejie Shen, Xin Xu, Yan Kou, Yangyu Lv, Yifan Zhai, Yitong Huang, Yun Zheng, Yuntao Hong, Zhe Zhang, Zhicheng Zhang.
arXiv 2026. [Paper]
Unify-Agent: A Unified Multimodal Agent for World-Grounded Image Synthesis.
Shuang Chen, Quanxin Shou, Hangting Chen, Yucheng Zhou, Kaituo Feng, Wenbo Hu, Yi-Fan Zhang, Yunlong lin, Wenxuan Huang, Mingyang Song, Dasen Dai, Bolin Jiang, Manyuan Zhang, Yu Cheng, Nanyun Peng.
NeurIPS 2026 (accepted). [Paper] [arXiv]
Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers.
Yuhe Liu, Zhenxiong Tan, Yujia Hu, Songhua Liu, Xinchao Wang.
CVPR 2026. [Paper] [arXiv]
Diffusion Controller: Framework, Algorithms and Parameterization.
Tong Yang, Moonkyung Ryu, Chih-Wei Hsu, Guy Tennenholtz, Yuejie Chi, Craig Boutilier, Bo Dai.
ICML 2026. [Paper] [arXiv]
A Unified and Controllable Framework for Layered Image Generation with Visual Effects.
Jinrui Yang, Qing Liu, Yijun Li, Mengwei Ren, Letian Zhang, Zhe Lin, Cihang Xie, Yuyin Zhou.
arXiv 2026. [Paper]
TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts.
Yu Xu, Hongbin Yan, Juan Cao, Yiji Cheng, Tiankai Hang, Runze He, Zijin Yin, Shiyi Zhang, Yuxin Zhang, Jintao Li, Chunyu Wang, Qinglin Lu, Tong-Yee Lee, Fan Tang.
CVPR 2026. [Paper] [arXiv]
DreamOmni2: Multimodal Instruction-based Generation and Editing.
Bin Xia, Bohao Peng, Yuechen Zhang, Junjia Huang, Jiyang Liu, Jingyao Li, Haoru Tan, Sitong Wu, Chengyao Wang, Yitong Wang, Bei Yu, Jiaya Jia.
CVPR 2026. [Paper]
LongCat-Image Technical Report.
Meituan LongCat Team, Hanghang Ma, Haoxian Tan, Jiale Huang, Junqiang Wu, Jun-Yan He, Lishuai Gao, Songlin Xiao, Xiaoming Wei, Xiaoqi Ma, Xunliang Cai, Yayong Guan, Jie Hu.
arXiv 2025. [Paper]
BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment.
Dewei Zhou, Mingwei Li, Zongxin Yang, Yu Lu, Yunqiu Xu, Zhizhong Wang, Zeyi Huang, Yi Yang.
ICLR 2026. [Paper] [arXiv]
CPO: Condition Preference Optimization for Controllable Image Generation.
Zonglin Lyu, Ming Li, Xinxin Liu, Chen Chen.
NeurIPS 2025. [Paper] [arXiv] [DOI]
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding.
Yi Xin, Qi Qin, Siqi Luo, Kaiwen Zhu, Juncheng Yan, Yan Tai, Jiayi Lei, Yuewen Cao, Keqi Wang, Yibin Wang, Jinbin Bai, Qian Yu, Dengyang Jiang, Yuandong Pu, Haoxing Chen, Le Zhuo, Junjun He, Gen Luo, Tianbin Li, Ming Hu, Jin Ye, Shenglong Ye, Bo Zhang, Chang Xu, Wenhai Wang, Hongsheng Li, Guangtao Zhai, Tianfan Xue, Bin Fu, Xiaohong Liu, Yu Qiao, Yihao Liu.
arXiv 2025. [Paper]
Query-Kontext: An Unified Multimodal Model for Image Generation and Editing.
YuXin Song, Wenkai Dong, Shizun Wang, Qi Zhang, Song Xue, Tao Yuan, Hu Yang, Haocheng Feng, Hang Zhou, Xinyan Xiao, Jingdong Wang.
ECCV 2026. [Paper] [arXiv]
UniAlignment: Semantic Alignment for Unified Image Generation, Understanding, Manipulation and Perception.
Xinyang Song, Libin Wang, Weining Wang, Shaozhen Liu, Dandan Zheng, Jingdong Chen, Qi Li, Zhenan Sun.
AAAI 2026. [Paper] [arXiv]
Universal Few-shot Spatial Control for Diffusion Models.
Kiet Nguyen, Chanhyuk Lee, Donggyun Kim, Dong Hoon Lee, Seunghoon Hong.
NeurIPS 2025. [Paper] [arXiv] [DOI]
OneReward: Unified Mask-Guided Image Generation via Multi-Task Human Preference Learning.
Yuan Gong, Xionghui Wang, Jie Wu, Shiyin Wang, Yitong Wang, Xinglong Wu.
arXiv 2025. [Paper]
Condition Weaving Meets Expert Modulation: Towards Universal and Controllable Image Generation.
Guoqing Zhang, Xingtong Ge, Lu Shi, Xin Zhang, Muqing Xue, Wanru Xu, Yigang Cen, Yidong Li.
arXiv 2025. [Paper]
X2Edit: Revisiting Arbitrary-Instruction Image Editing through Self-Constructed Data and Task-Aware Representation Learning.
Jian Ma, Xujie Zhu, Zihao Pan, Qirong Peng, Xu Guo, Chen Chen, Haonan Lu.
arXiv 2025. [Paper]
Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents.
Han Lin, Jaemin Cho, Amir Zadeh, Chuan Li, Mohit Bansal.
NeurIPS 2025. [Paper] [arXiv] [DOI]
LLMControl: Grounded Control of Text-to-Image Diffusion-based Synthesis with Multimodal LLMs.
Jiaze Wang, Rui Chen, Haowang Cui.
arXiv 2025. [Paper]
IGD: Instructional Graphic Design with Multimodal Layer Generation.
Yadong Qu, Shancheng Fang, Yuxin Wang, Xiaorui Wang, Zhineng Chen, Hongtao Xie, Yongdong Zhang.
ICCV 2025. [Paper] [arXiv]
OmniGen2: Towards Instruction-Aligned Multimodal Generation.
Chenyuan Wu, Pengfei Zheng, Ruiran Yan, Shitao Xiao, Xin Luo, Yueze Wang, Wanli Li, Xiyan Jiang, Yexin Liu, Junjie Zhou, Ze Liu, Ziyi Xia, Chaofan Li, Haoge Deng, Jiahao Wang, Kun Luo, Bo Zhang, Defu Lian, Xinlong Wang, Zhongyuan Wang, Tiejun Huang, Zheng Liu.
arXiv 2025. [Paper] [Code] [Project]
Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model.
Qingyu Shi, Jinbin Bai, Zhuoran Zhao, Wenhao Chai, Kaidong Yu, Jianzong Wu, Yunhai Tong, Xiangtai Li, Xuelong Li, Shuicheng Yan.
arXiv 2025. [Paper]
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning.
Zhong-Yu Li, Ruoyi Du, Juncheng Yan, Le Zhuo, Zhen Li, Peng Gao, Zhanyu Ma, Ming-Ming Cheng.
ICCV 2025. [Paper] [arXiv] [Code] [Project]
Transfer between Modalities with MetaQueries.
Xichen Pan, Satya Narayan Shukla, Aashu Singh, Zhuokai Zhao, Shlok Kumar Mishra, Jialiang Wang, Zhiyang Xu, Jiuhai Chen, Kunpeng Li, Felix Juefei-Xu, Ji Hou, Saining Xie.
arXiv 2025. [Paper]
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models.
Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong.
ICLR 2025. [Paper] [arXiv]
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing.
Tsu-Jui Fu, Yusu Qian, Chen Chen, Wenze Hu, Zhe Gan, Yinfei Yang.
ICCV 2025. [Paper] [arXiv]
OminiControl2: Efficient Conditioning for Diffusion Transformers.
Zhenxiong Tan, Qiaochu Xue, Xingyi Yang, Songhua Liu, Xinchao Wang.
arXiv 2025. [Paper]
MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editing.
Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen.
arXiv 2025. [Paper]
Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think.
Liang Chen, Shuai Bai, Wenhao Chai, Weichu Xie, Haozhe Zhao, Leon Vinci, Junyang Lin, Baobao Chang.
arXiv 2025. [Paper]
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment.
Minh-Quan Le, Gaurav Mittal, Tianjian Meng, A S M Iftekhar, Vishwas Suryanarayanan, Barun Patra, Dimitris Samaras, Mei Chen.
ICLR 2025. [Paper] [arXiv]
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation.
Adil Kaan Akan, Yucel Yemez.
ICLR 2025. [Paper] [arXiv]
DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models.
Longquan Dai, Wu Ming, Dejiao Xue, wang he, Jinhui Tang.
NeurIPS 2025. [Paper] [DOI]
ModuleTeam: Open-Set Multi-Conditional Image Generation with Training-Free Latent Mixture of Any Control Module.
Yuwei Zhou, Xin Wang, Hong Chen, Yipeng Zhang, Zeyang Zhang, Wenwu Zhu.
ACM MM 2025. [Paper]
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation.
Lunhao Duan, Shanshan Zhao, Wenjun Yan, Yinglun Li, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Mingming Gong, Gui-Song Xia.
CVPR 2025. [Paper] [arXiv]
DreamOmni: Unified Image Generation and Editing.
Bin Xia, Yuechen Zhang, Jingyao Li, Chengyao Wang, Yitong Wang, Xinglong Wu, Bei Yu, Jiaya Jia.
CVPR 2025. [Paper] [arXiv]
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis.
Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, Yi-Zhe Song.
arXiv 2024. [Paper]
UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics.
Xi Chen, Zhifei Zhang, He Zhang, Yuqian Zhou, Soo Ye Kim, Qing Liu, Yijun Li, Jianming Zhang, Nanxuan Zhao, Yilin Wang, Hui Ding, Zhe Lin, Hengshuang Zhao.
CVPR 2025. [Paper] [arXiv]
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows.
Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Zichun Liao, Yusuke Kato, Kazuki Kozuka, Aditya Grover.
CVPR 2025. [Paper] [arXiv]
OminiControl: Minimal and Universal Control for Diffusion Transformer.
Zhenxiong Tan, Songhua Liu, Xingyi Yang, Qiaochu Xue, Xinchao Wang.
ICCV 2025. [Paper]
A Simple Approach to Unifying Diffusion-based Conditional Generation.
Xirui Li, Charles Herrmann, Kelvin Chan, Yinxiao Li, Deqing Sun, Chao Ma, Ming-Hsuan Yang.
ICLR 2025. [Paper] [arXiv]
OmniGen: Unified Image Generation.
Shitao Xiao, Yueze Wang, Junjie Zhou, Huaying Yuan, Xingrun Xing, Ruiran Yan, Chaofan Li, Shuting Wang, Tiejun Huang, Zheng Liu.
CVPR 2025. [Paper] [Code]
Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation.
Yuanhuiyi Lyu, Xu Zheng, Lin Wang.
arXiv 2024. [Paper]
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion.
Wei Li, Xue Xu, Jiachen Liu, Xinyan Xiao.
arXiv 2024. [Paper]
Instruct-Imagen: Image Generation with Multi-modal Instruction.
Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William Cohen, Ming-Wei Chang, Xuhui Jia.
arXiv 2024. [Paper]
Generative Multimodal Models are In-Context Learners.
Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang.
arXiv 2023. [Paper]
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models.
Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn.
arXiv 2023. [Paper]
AegisFlow: Training-Free Non-Myopic Path-Safe Guided Flow Matching.
Kunpeng Liu, Boshi Zhang, Keyou You.
arXiv 2026. [Paper] [Code]
Variational Optimal Control for Diffusion Guidance.
Ruoyu Wang, Xinyi Ye, Yunshuo Shi, Liangyu Yuan, Beier Zhu, Chi Zhang.
arXiv 2026. [Paper]
VaLoP: Value Gradient Lookahead and Pullback for Reward-Guided Diffusion.
Kwanyoung Kim.
arXiv 2026. [Paper] [Project]
Concept Guidance: Precise, Training-Free Latent Control for Text-to-Image Generation.
Nikolai Röhrich, Isabell Hans, Felix Krause, Björn Ommer.
GCPR 2026. [Paper] [Code]
CREPE: Controlling diffusion with REPlica Exchange.
Jiajun He, Paul Jeha, Peter Potaptchik, Leo Zhang, José Miguel Hernández Lobato, Yuanqi Du, Saifuddin Syed, Francisco Vargas.
ICLR 2026. [Paper]
Spectral Guidance for Flexible and Efficient Control of Diffusion Models.
Gabriel Moreira, Manuel Marques, Joao Costeira, Chenyan Xiong.
ICML 2026. [Paper]
Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag Explorations.
Shunqi Mao, Wei Guo, Chaoyi Zhang, Jieting Long, Ke Xie, Weidong Cai.
ECCV 2026. [Paper] [arXiv]
RNE: plug-and-play diffusion inference-time control and energy-based training.
Jiajun He, José Miguel Hernández Lobato, Yuanqi Du, Francisco Vargas.
ICLR 2026. [Paper] [arXiv]
Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis.
Zixuan Wang, Duo Peng, Feng Chen, Yuwei Yang, Yinjie Lei.
CVPR 2025. [Paper] [arXiv]
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation.
Bowen Song, Zecheng Zhang, Zhaoxu Luo, Jason Hu, Wei Yuan, Jing Jia, Zhengxu Tang, Guanyang Wang, Liyue Shen.
NeurIPS 2025. [Paper] [arXiv] [DOI]
NoiseCtrl: A Sampling-Algorithm-Agnostic Conditional Generation Method for Diffusion Models.
Longquan Dai, He Wang, Jinhui Tang.
CVPR 2025. [Paper]
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation.
Maitreya Patel, Song Wen, Dimitris N. Metaxas, Yezhou Yang.
arXiv 2024. [Paper]
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method.
Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan.
arXiv 2023. [Paper]
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints.
Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi.
AAAI 2025. [Paper] [arXiv]
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model.
Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang.
ICCV 2023. [Paper]
Universal Guidance for Diffusion Models.
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein.
CVPRW 2023. [Paper]
Can Image Agents Complete Visual Commissions? A Benchmark and Modular Framework.
Tong Li, Lishuai Gao, Qi Zeng, Yifan Li, Cong Wei, Zhuoliang Kang, Xiaoming Wei.
arXiv 2026. [Paper]
V-CAPE: Visual Consistency Assessment for Product Image Editing.
Iaroslav Melekhov, Roberto Alcover Couso, Francesco Taioli, Daniel Coelho, Artur Bekasov, Virginia Fernandez Arguedas, Jose Miguel Grande Saiz.
arXiv 2026. [Paper]
IntReal: A Real-World Dataset and Benchmark for Multimodal Interleaved Generation.
Shaohan Yu, Jie Qin, Wende Tan, Haiwen Diao, Limeng Qiao, Yueming Lyu, Chenyang Si.
arXiv 2026. [Paper] [Project]
MoI-Bench: A Benchmark for Image Generation and Editing on Mobile Devices.
Kailai Feng, Haoxiang Rao, Yuxiang Wei, Bo Chen, Junsong Li, Yang Pan, Chengkun Cai, Jagmohan Chauhan.
arXiv 2026. [Paper] [Project]
Attractive Faces Skew Text-to-Image Reward Models and Leaderboards.
Harvey Mannering, Zhiwu Huang, Adam Prügel-Bennett.
arXiv 2026. [Paper]
MTEdit: Packed Trajectories Beat Rollouts for Multi-Turn Image Editing.
Houyuan Chen, Fanzhou Wang, Xiangyu Fan, Songlin Yang, Zhitao Yang, Lvmin Zhang, Pei Yang, Hao Zhao, Dahua Lin, Lei Yang, Anyi Rao.
arXiv 2026. [Paper]
TextVerifier: Seeing Beyond Recognition to Verify Chinese Text Rendering.
Yiyang Chen, Guo-Hua Wang, Yaoli Liu, Qing-Guo Chen, Zhao Xu, Weihua Luo, Xiujun Ma.
arXiv 2026. [Paper]
When Scene Text Hijacks the Scene: Uncovering, Exploiting, and Mitigating Rendered-Text Semantic Leakage in Image Generation Models.
Feifei Li, Runjie Wang, Xiaohan Zhang, Zhenxing Qian, Mi Wen, Mi Zhang.
arXiv 2026. [Paper]
ORCA: Hunting Compositional Failures in Text-to-Image Diffusion.
Arshia Hemmat, Amirhossein Vahidi, Amitis Shidani, Mohammad V Sanian, Hesam Asadollahzadeh, Aryan Y Parast, Mohammad Lotfollahi.
NeurIPS 2026 (accepted). [Paper] [arXiv]
UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation.
Deyuan Liu, Yihao Hu, Jingxuan Zhang, Xingying Li, Jun Xie, Jiacheng Liu, Jungang Li, Yu Huang, Xuanyi Liu, Yue Ding, Zecheng Wang, Lei Zhao, Mingda Wang, Zhenglin Cheng, Peng Sun, Tao Lin.
arXiv 2026. [Paper]
OverLay++: Dense-Overlap Layout-to-Image Generation Dataset.
Shivansh Aggarwal, Shresth Grover, Divyansh Srivastava, Haiyang Xu, Bingnan Li, Xiang Zhang, Ethan Armand, Chuan Li, Jianwen Xie, Zhuowen Tu.
NeurIPS Evaluations and Datasets Track 2026 (accepted). [Paper] [arXiv]
Where to Look Is Not How to Fix: Pre-Denoising Diagnostics and Modality-Dependent Control in Diffusion Composition.
Fangzheng Wu, Brian Summa.
NeurIPS 2026 (accepted). [Paper] [arXiv]
IMPLICIT-Bench: Stereotyped Defaults and Prompt Following in Text-to-Image Generation.
Yue Dai, Ziyang Liu, Marc Cheong, Caren Han.
arXiv 2026. [Paper]
UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation.
Danning Zhang, Yijing Lin, Shuhan Zhuang, Mengqi Huang, Shaojin Wu, Shancheng Fang, Zhendong Mao.
ICML 2026. [Paper] [arXiv]
Interpreting Object-Dependent Concept Brittleness in Text-to-Image Diffusion Models.
Yifan Yuan, Xiangyu Liu, Hongming Shan, Yu Han, Yu Jiang, Hao Tan, Junping Zhang, Linlin Shen.
ACM MM 2026 (accepted). [Paper] [arXiv]
T2LSC-Bench: Benchmarking Localized Semantic Control in Text-to-Image Generation.
Yan Wang, Xinyi Hou, Weiguo Lin, Junjun Si, Siwei Ma.
arXiv 2026. [Paper]
When Composition Doesn't Add Up: Humans Identifying Defects in AI-Generated Images.
Ruoqi Hu, Chulin Zhao, Jiashuo Chang, Ramon Ruiz-Dolz, Hanhe Lin.
arXiv 2026. [Paper]
The Plan, Not the Decoder: Diagnosing and Repairing Compositional Failure in Reasoning-Augmented Text-to-Image Generation.
Ashritha Gonuguntla.
arXiv 2026. [Paper]
Benchmarking Frontier Text-to-Image Models on Image-Description Prompts.
Sajjad Abdoli, Ghassan Al-Sumaidaee, Ahmed Rashad.
arXiv 2026. [Paper]
PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation.
Yuhang Wu, Shuxiang Zhang, WEE CHING, Chi Zhang, Miao Liu.
ECCV 2026. [Paper] [arXiv]
MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation.
Zhihan Chen, Yuhuan Zhao, Yijie Zhu, Xinyu Yao, Mengcong Ren, Suwen Wang, Qiuyang Yin, Yuchen Sun, Qin Wang, Lu Xin.
arXiv 2026. [Paper]
Not All Prediction Targets Keep Training-Free Diffusion Guidance on the Manifold.
Yunsung Lee, Hyeongmin Lee.
arXiv 2026. [Paper]
Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist.
Yuanhao Ban, Tong Xie, Sohyun An, Yunqi Hong, Evan Frick, I-Hung Hsu, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh.
arXiv 2026. [Paper]
GeoFidelity-Bench: Evaluating Block-Conditioned Geographic Fidelity in Text-to-Image Street-View Generation.
Kaizhen Tan.
NeurIPS Evaluations and Datasets Track 2026 (accepted). [Paper] [arXiv]
CogCanvas: A Benchmark for Evaluating Multi-Subject Reference-Based Image Generation.
Long-Bao Nguyen, Quang-Khai Le, Tam V. Nguyen, Minh-Triet Tran, Trung-Nghia Le.
arXiv 2026. [Paper]
DifFRACT: Diffusion Feature Reconstruction and Attribution for Circuit Tracing.
Artyom Mazur, Nina Konovalova, Aibek Alanov.
arXiv 2026. [Paper] [Code]
The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation.
Zijie Lou, Youyun Tang, Xiaochao Qu, Haoxiang Li, Ting Liu, Luoqi Liu, Xun Zhu, Zheng Zhang, Xi Chen, Miao Li, Ji Wu, Dizhe Zhang, Xian Ge, Sujia Wang, Ruiyang Zhang, Jiaming Wang, Xianshun Wang, Lu Qi, Boao Kang, Wei Zhou, Jinghui Sun, Zhenyu Yan, Jiliang Zhao, Rui Yang, Yipo Huang, Boyuan Liu, Shanglin Li, Zifan Xie, Yichen Zhang, Anlan Wang, Wenfeng Lin, Mingyu Guo, Dong Li, Xinghao Wang, Yanting Li, Shanzhao Tong, Shuai He, Qiu Zhou, Yongqi Yang, Taoyang Mu, Dianqiao Lei, Anlong Ming, Huadong Ma.
arXiv 2026. [Paper]
Vision-Language Binding in In-Context Image Generation.
Chris Ge, Rohit Gandikota, Antonio Torralba, Tamar Rott Shaham.
arXiv 2026. [Paper]
MaSC: A Masked Similarity Metric for Evaluating Concept-Driven Generation.
Patryk Bartkowiak, Lennart Petersen, Bartosz Kotrys, Dominik Michels, Soren Pirk, Wojtek Palubicki.
arXiv 2026. [Paper]
Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers.
Evelyn Turri, Davide Bucciarelli, Sara Sarto, Lorenzo Baraldi, Marcella Cornia.
arXiv 2026. [Paper]
TextGround4M: A Prompt-Aligned Dataset for Layout-Aware Text Rendering.
Dongxing Mao, Yilin Wang, Linjie Li, Zhengyuan Yang, Alex Jinpeng Wang.
AAAI 2026. [Paper] [arXiv]
Probing Visual Planning in Image Editing Models.
Zhimu Zhou, Yanpeng Zhao, Qiuyu Liao, Bo Zhao, Xiaojian Ma.
arXiv 2026. [Paper] [Code]
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation.
Li He, Longtai Zhang, Wenqiang Zhang, Yan Wang, Lizhe Qi.
arXiv 2026. [Paper]
SpatialReward: Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in Text-to-Image Generation.
Sashuai Zhou, Qiang Zhou, Junpeng Ma, Yue Cao, Ruofan Hu, Ziang Zhang, Xiaoda Yang, Zhibin Wang, Jun Song, Cheng Yu, Bo Zheng, Zhou Zhao.
CVPR 2026. [Paper] [arXiv]
MultiBind: A Benchmark for Attribute Misbinding in Multi-Subject Generation.
Wenqing Tian, Hanyi Mao, Zhaocheng Liu, Lihua Zhang, Qiang Liu, Jian Wu, Liang Wang.
arXiv 2026. [Paper]
DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation.
Zhenyu Hu, Qing Wang, Cao Te, Kuo Liao, Longfei Lu, Liqun Liu, Shuang Li, Hang Chen, Mengge Xue, Yuan Chen, Chao Deng, Peng Shu, Huan Yu, Jie Jiang.
ECCV 2026. [Paper] [arXiv]
DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation.
Varun Gopal, Rishabh Jain, Aradhya Mathur, Nikitha SR, Sohan Patnaik, Sudhir Yarram, Mayur Hemani, Balaji Krishnamurthy, Mausoom Sarkar.
arXiv 2026. [Paper]
A Hidden Semantic Bottleneck in Conditional Embeddings of Diffusion Transformers.
Trung X. Pham, Kang Zhang, Ji Woo Hong, Chang Yoo.
ICLR 2026. [Paper] [arXiv]
MICON-Bench: Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models.
Mingrui Wu, Hang Liu, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji.
CVPR 2026. [Paper] [arXiv]
SANEval: Open-Vocabulary Compositional Benchmarks with Failure-mode Diagnosis.
Rishav Pramanik, Ian E. Nielsen, Jeff Smith, Saurav Pandit, Ravi P. Ramachandran, Zhaozheng Yin.
arXiv 2026. [Paper]
VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents.
Hongzhu Yi, Yujia Yang, Yuanxiang Wang, Tong Li, Zhenyu Guan, Tianyu Zong, Jiahuan Chen, Chenxi Bao, Tiankun Yang, Haopeng Jin, Yixuan Yuan, Xinming Wang, Tao Yu, Ruilin Gao, Ruiwen Tao, Haijin Liang, Jin Ma, Jinwen Luo, Yeshani, Xinyu Zuo, Jungang Xu.
arXiv 2026. [Paper]
Visual Personalization Turing Test.
Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Jackson Wang.
CVPR 2026. [Paper] [arXiv]
Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models.
Zengbin Wang, Xuecai Hu, Yong Wang, Feng Xiong, Man Zhang, Xiangxiang Chu.
ICLR 2026. [Paper] [arXiv]
GenCtrl -- A Formal Controllability Toolkit for Generative Models.
Emily Cheng, Carmen Amo Alonso, Federico Danieli, Arno Blaas, Luca Zappella, Pau Rodriguez, Xavier Suau.
ICLR 2026. [Paper] [arXiv]
AVID: A 5T fMRI Dataset for Benchmarking Auditory-induced Visual Mental Imagery Decoding.
Shiqi Shen, Shurui Li, Yuanning Li, Xilin Zhang.
NeurIPS Evaluations and Datasets Track 2026 (accepted). [Paper]
StyleDoctor: Towards Specialist Reward Model for Style-centric Generation Tasks.
Xilin He, Xiaole Xian, Xiangyu Yue, Muhammad Haris Khan.
CVPR 2026. [Paper]
Inter-Edit: First Benchmark for Interactive Instruction-Based Image Editing.
Delong Liu, Haotian Hou, Zhaohui Hou, Zhiyuan Huang, Shihao Han, Mingjie Zhan, Zhicheng Zhao, Fei Su.
CVPR 2026. [Paper]
K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge.
Zhikai Li, Jiatong Li, Xuewen Liu, Wangbo Zhao, Pan Du, Kaicheng Zhou, Qingyi Gu, Yang You, Zhen Dong, Kurt Keutzer.
ICLR 2026. [Paper]
ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning.
Yuxiang Guo, Jiang Liu, Ze Wang, Hao Chen, Ximeng Sun, Yang Zhao, Jialian Wu, Xiaodong Yu, Zicheng Liu, Emad Barsoum.
ICLR 2026. [Paper]
MICE-Bench: A Challenging and Comprehensive Benchmark for Multi-Reference Image Creation and Editing.
Siqi Luo, Huayu Zheng, Jianghan Shen, Yi Xin, Luxin Xu, Jiyao Liu, Xinyu Zhang, Hang Zhou, Pengyu Xie, Xiaohui Li, Shuo Cao, Yuandong Pu, Junjun He, Bin Fu, Yihao Liu, Yu Qiao, Guangtao Zhai, Yuewen Cao, Xiaohong Liu.
ICML 2026. [Paper]
Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions.
Ada Görgün, Fawaz Sammani, Nikos Deligiannis, Bernt Schiele, Jonas Fischer.
ICLR 2026. [Paper] [arXiv]
MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition.
Xinyu Wei, Kangrui Cen, Hongyang Wei, Zhen Guo, Bairui Li, Zeqing Wang, Jinrui Zhang, Lei Zhang.
CVPR 2026. [Paper] [arXiv]
Charts Are Not Images: On the Challenges of Scientific Chart Editing.
Li Li, Ryan Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao.
ICLR 2026. [Paper] [arXiv]
MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation.
Yuta Oshima, Daiki Miyake, Kohsei Matsutani, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta.
CVPR 2026. [Paper] [arXiv]
WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation.
Wei Chow, Jiachun Pan, Yongyuan Liang, Mingze Zhou, Xue Song, Liyu Jia, Saining Zhang, Siliang Tang, Juncheng Li, Fengda Zhang, Weijia Wu, Hanwang Zhang, Tat-Seng Chua.
CVPR 2026. [Paper] [arXiv]
Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation.
Mayank Vatsa, Aparna Bharati, Richa Singh.
AAAI 2026. [Paper] [arXiv]
How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions.
Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen.
AAAI 2026. [Paper] [arXiv]
PreferThinker: Reasoning-based Personalized Image Preference Assessment.
Shengqi Xu, Xinpeng Zhou, Yabo Zhang, Ming Liu, Tao Liang, Tianyu Zhang, Yalong Bai, Zuxuan Wu, Wangmeng Zuo.
ICLR 2026. [Paper] [arXiv]
ImageGem: In-the-wild Generative Image Interaction Dataset for Generative Model Personalization.
Yuanhe Guo, Linxi Xie, Zhuoran Chen, Kangrui Yu, Ryan Po, Guandao Yang, Gordon Wetzstein, Hongyi Wen.
ICCV 2025. [Paper] [arXiv]
Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation.
Abdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem, Peter Wonka.
NeurIPS 2025. [Paper] [arXiv] [DOI]
Evaluating the Evaluators: Metrics for Compositional Text-to-Image Generation.
Seyed Amir Kasaei, Ali Aghayari, Arash Marioriyad, Niki Sepasian, MohammadAmin Fazli, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban.
arXiv 2025. [Paper]
OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps.
Bingnan Li, Chen-Yu Wang, Haiyang Xu, Xiang Zhang, Ethan Armand, Divyansh Srivastava, Shan Xiaojun, Zeyuan Chen, Jianwen Xie, Zhuowen Tu.
NeurIPS 2025. [Paper] [arXiv] [DOI]
Local Mechanisms of Compositional Generalization in Conditional Diffusion.
Arwen Bradley.
ICML 2026. [Paper] [arXiv]
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark.
Rongyao Fang, Aldrich Yu, Chengqi Duan, Linjiang Huang, Shuai Bai, Yuxuan Cai, Kun Wang, Si Liu, Xihui Liu, Hongsheng Li.
ICLR 2026. [Paper] [arXiv]
MultiRef: Controllable Image Generation with Multiple Visual References.
Ruoxi Chen, Dongping Chen, Siyuan Wu, Sinan Wang, Shiyun Lang, Peter Sushko, Gaoyang Jiang, Yao Wan, Ranjay Krishna.
ACM MM 2025. [Paper] [arXiv]
ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation.
Cihang Peng, Qiming Hou, Zhong Ren, Kun Zhou.
ICCV 2025. [Paper] [arXiv]
Trade-offs in Image Generation: How Do Different Dimensions Interact?
Sicheng Zhang, Binzhu Xie, Zhonghao Yan, Yuli Zhang, Donghao Zhou, Xiaofei Chen, Shi Qiu, Jiaqi Liu, Guoyang Xie, Zhichao Lu.
ICCV 2025. [Paper] [arXiv]
Multimodal LLMs as Customized Reward Models for Text-to-Image Generation.
Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen.
ICCV 2025. [Paper] [arXiv]
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers.
Zhengyao Lv, Tianlin Pan, Chenyang Si, Zhaoxi Chen, Wangmeng Zuo, Ziwei Liu, Kwan-Yee K. Wong.
ICCV 2025. [Paper] [arXiv]
Evaluating Compositional Scene Understanding in Multimodal Generative Models.
Shuhao Fu, Andrew Jun Lee, Anna Wang, Ida Momennejad, Trevor Bihl, Hongjing Lu, Taylor W. Webb.
arXiv 2025. [Paper]
ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing.
Yulin Pan, Xiangteng He, Chaojie Mao, Zhen Han, Zeyinzi Jiang, Jingfeng Zhang, Yu Liu.
ICCV 2025. [Paper] [arXiv]
T2I-FineEval: Fine-Grained Compositional Metric for Text-to-Image Evaluation.
Seyed Mohammad Hadi Hosseini, Amir Mohammad Izadi, Ali Abdollahi, Armin Saghafian, Mahdieh Soleymani Baghshah.
arXiv 2025. [Paper]
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained.
Alessandro Favero, Antonio Sclocchi, Francesco Cagnetta, Pascal Frossard, Matthieu Wyart.
ICML 2025. [Paper] [arXiv]
Learning Vision and Language Concepts for Controllable Image Generation.
Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric Xing, Guangyi Chen, Kun Zhang.
ICML 2025. [Paper]
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features.
Anand Kumar, Jiteng Mu, Nuno Vasconcelos.
ICCV 2025. [Paper] [arXiv]
What Makes a Scene ? Scene Graph-based Evaluation and Feedback for Controllable Generation.
Zuyao Chen, Jinlin Wu, Zhen Lei, Chang Wen Chen.
arXiv 2024. [Paper]
Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing.
Yoonjeon Kim, Soohyun Ryu, Yeonsung Jung, Hyunkoo Lee, Joowon Kim, June Yong Yang, Jaeryong Hwang, Eunho Yang.
CVPR 2025. [Paper] [arXiv]
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty.
Xindi Wu, Dingli Yu, Yangsibo Huang, Olga Russakovsky, Sanjeev Arora.
NeurIPS Datasets and Benchmarks Track 2024. [Paper] [arXiv] [DOI]
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation.
Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia.
ICLR 2025. [Paper] [arXiv]
How Control Information Influences Multilingual Text Image Generation and Editing?
Boqiang Zhang, Zuan Gao, Yadong Qu, Hongtao Xie.
NeurIPS 2024. [Paper] [DOI]
