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A collection of awesome text-to-image generation studies.
| Date | Stars |
|---|---|
| 2026-07-24 | 761 |
| 2026-07-25 | 761 |
| 2026-07-28 | 761 |
| 2026-07-30 | 761 |
| 2026-07-31 | 761 |
| 2026-08-06 | 761 |
Today
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Momentum
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growth rate 0.00%/day
<p align="center">
<h1 align="center">A Collection of Text-to-Image Generation Studies</h1>
This GitHub repository summarizes papers and resources related to the text-to-image (T2I) generation task.
> [!NOTE]
> This document serves as the `homepage` of the whole GitHub repo. Papers are summarized according to **different research directions, published years, and conferences.**
>
> [The `topics` section](topics/topics.md) summarizes papers that are highly related to T2I generation according to different properties, e.g., prerequisites of T2I generation, diffusion models with other techniques (e.g., Diffusion Transformer, LLMs, Mamba, etc.), and diffusion models for other tasks.
If you have any suggestions about this reåpository, please feel free to [start a new issue](https://github.com/AlonzoLeeeooo/awesome-text-to-image-generation-studies/issues/new) or [pull requests](https://github.com/AlonzoLeeeooo/awesome-text-to-image-generation-studies/pulls).
Recent news of this GitHub repo are listed as follows.
🔥 [Dec. 11th, 2025] Our paper titled ["StableV2V: Stablizing Shape Consistency in Video-to-Video Editing"](https://ieeexplore.ieee.org/document/11272911) is accepted at TCSVT 2025!
🔥 [Nov. 19th] We have released our latest paper titled ["StableV2V: Stablizing Shape Consistency in Video-to-Video Editing"](https://arxiv.org/abs/2411.11045), with the correponding [code](https://github.com/AlonzoLeeeooo/StableV2V), [model weights](https://huggingface.co/AlonzoLeeeooo/StableV2V), and [a testing benchmark `DAVIS-Edit`](https://huggingface.co/datasets/AlonzoLeeeooo/DAVIS-Edit) open-sourced. Feel free to check them out from the links!
<details> <summary> Click to see more information. </summary>
- [Apr. 26th] Update a new topic: **Diffusion Models Meet Federated Learning.** See [the `topics` section](topics/topics.md) for more details!
- [Mar. 28th] The official **AAAI 2024** paper list are released! Official version of PDFs and BibTeX references are updated accordingly.
- [Mar. 21th] [The `topics` section](topics/topics.md) has been updated. This section aims to offer **paper lists that are summarized according to other properties of diffusion models**, e.g., Diffusion Transformer-based methods, diffusion models for NLP, diffusion models integrated with LLMs, etc. The corresponding references of these papers are also concluded in `reference.bib`.
- [Mar. 7th] All available **CVPR, ICLR, and AAAI 2024 papers and references** are updated.
- [Mar. 1st] Websites of [**the off-the-shelf text-to-image generation products**](#available-products) and [**toolkits**](#toolkits) are summarized.
</details>
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# <span id="contents">Contents</span>
- [Products](#available-products)
- [To-Do Lists](#to-do-lists)
- [Papers](#papers)
- [Survey Papers](#survey-papers)
- [Text-to-Image Generation](#text-to-image-generation)
- [Year 2025](#text-year-2025)
- [Year 2024](#text-year-2024)
- [Year 2023](#text-year-2023)
- [Year 2022](#text-year-2022)
- [Year 2021](#text-year-2021)
- [Year 2020](#text-year-2020)
- [Conditional Text-to-Image Generation](#conditional-text-to-image-generation)
- [Year 2025](#conditional-year-2025)
- [Year 2024](#conditional-year-2024)
- [Year 2023](#conditional-year-2023)
- [Year 2022](#conditional-year-2022)
- [Personalized Text-to-Image Generation](#personalized-text-to-image-generation)
- [Year 2025](#personalized-year-2025)
- [Year 2024](#personalized-year-2024)
- [Year 2023](#personalized-year-2023)
- [Text-Guided Image Editing](#text-guided-image-editing)
- [Year 2025](#editing-year-2025)
- [Year 2024](#editing-year-2024)
- [Year 2023](#editing-year-2023)
- [Year 2022](#editing-year-2022)
- [Text Image Generation](#text-image-generation)
- [Year 2024](#gentext-year-2024)
- [Datasets](#datasets)
- [Toolkits](#toolkits)
- [Q&A](#qa)
- [References](#references)
- [Star History](#star-history)
- [WeChat GroupExcerpt of 93,586 characters
Read on GitHubUSTC-liuchang · University of Science and Technology of China · China
141
Stjepan Jureković · Manning Publication · Croatia
1
Lee Penkman · @netwrck · New Zealand
1
Zhicheng Sun · Peking University
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f5fe91fb45e8a24c, topic:diffusion-models, topic:text-to-image, name:text-to-image