Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[Neurips 2023 & TPAMI] T2I-CompBench (++) for Compositional Text-to-image Generation Evaluation
| Date | Stars |
|---|---|
| 2026-07-24 | 345 |
| 2026-07-25 | 345 |
| 2026-07-28 | 345 |
| 2026-07-30 | 345 |
| 2026-07-31 | 345 |
| 2026-08-06 | 345 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# T2I-CompBench(++): Benchmark for Compositonal Text-to-Image Generation <a href='https://karine-h.github.io/T2I-CompBench-new/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> <a href='https://ieeexplore.ieee.org/abstract/document/10847875'><img src='https://img.shields.io/badge/T2I--CompBench++-Paper-red'></a> <a href='https://arxiv.org/pdf/2307.06350v2'><img src='https://img.shields.io/badge/T2I--CompBench-Arxiv-red'></a> <a href='https://connecthkuhk-my.sharepoint.com/:f:/g/personal/huangky_connect_hku_hk/Er_BhrcMwGREht6gnKGIErMB4egvvKM5ouhmkc0u5ZIKPw'><img src='https://img.shields.io/badge/Dataset-T2I--CompBench++-blue'></a> <a href='https://connecthkuhk-my.sharepoint.com/:u:/g/personal/huangky_connect_hku_hk/EXEFBTzE6khPlsx2qPMjF9EBQYkE4WC2Z_XQGIjRUevjRQ'><img src='https://img.shields.io/badge/Dataset-Human eval images-purple'></a> This repository contains the following papers: > **T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation**<br> > [Kaiyi Huang](https://scholar.google.com/citations?user=dB86D_cAAAAJ&hl=zh-CN&oi=sra)<sup>1</sup>, [Kaiyue Sun](https://scholar.google.com/citations?user=mieuBzUAAAAJ&hl=zh-CN&oi=sra)<sup>1</sup>, [Enze Xie](https://xieenze.github.io/)<sup>2</sup>, [Zhenguo Li](https://scholar.google.com.sg/citations?user=XboZC1AAAAAJ&hl=en)<sup>2</sup>, [Xihui Liu](https://xh-liu.github.io/)<sup>1+</sup><br> > <sup>1</sup>The University of Hong Kong, <sup>2</sup>Huawei Noah’s Ark Lab<br> > Conference on Neural Information Processing Systems (**Neurips**), 2023 > **T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation**<br> > [Kaiyi Huang](https://scholar.google.com/citations?user=dB86D_cAAAAJ&hl=zh-CN&oi=sra)<sup>1</sup>, [Chengqi Duan](https://scholar.google.com/citations?user=r9qb4ZwAAAAJ&hl=zh-CN&oi=sra)<sup>1,3</sup>, [Kaiyue Sun](https://scholar.google.com/citations?user=mieuBzUAAAAJ&hl=zh-CN&oi=sra)<sup>1</sup>, [Enze Xie](https://xieenze.github.io/)<sup>2</sup>, [Zhenguo Li](https://scholar.google.com.sg/citations?user=XboZC1AAAAAJ&hl=en)<sup>2</sup>, [Xihui Liu](https://xh-liu.github.io/)<sup>1+</sup><br> > <sup>1</sup>The University of Hong Kong, <sup>2</sup>Huawei Noah’s Ark Lab, <sup>3</sup>Tsinghua University<br> > IEEE Transactions on Pattern Analysis and Machine Intelligence (**TPAMI**), 2025 ## 🚩 **New Features/Updates** - ✅ Jan. 11, 2025. 💥 T2I-Compbench++ accepted to TPAMI. - ✅ Nov. 06, 2024. Include evaluation results on [**FLUX.1**](https://github.com/black-forest-labs/flux). - ✅ Jun. 27, 2024. Release [**human evaluation**](https://connecthkuhk-my.sharepoint.com/:u:/g/personal/huangky_connect_hku_hk/EXEFBTzE6khPlsx2qPMjF9EBo6VR2scOo0KRY1M9g4CMkg?e=o5YT2k) of image-score pairs. - ✅ Mar. 14, 2024. Release a more comprehensive version of compositional benchmark T2I-CompBench++. - ✅ Mar. 05, 2024. 💥 Evaluation metric adopted by 🧨 [**Stable Diffusion 3**](https://arxiv.org/pdf/2403.03206). - ✅ Dec. 02, 2023. Release the inference code for generating images in metric evaluation. - ✅ Oct. 20, 2023. 💥 Evaluation metric adopted by 🧨 [**DALL-E 3**](https://cdn.openai.com/papers/dall-e-3.pdf) as the evaluation metric for compositionality. - ✅ Sep. 30, 2023. 💥 Evaluation metric adopted by 🧨 [**PixArt-α**](https://arxiv.org/pdf/2310.00426.pdf) as the evaluation metric for compositionality. - ✅ Sep. 22, 2023. 💥 Paper accepted to Neurips 2023. - ✅ Jul. 9, 2023. Release the dataset, training and evaluation code. ## **Installing the dependencies** Before running the scripts, make sure to install the library's training dependencies: **Important** We recommend using the **latest code** to ensure consistency with the results presented in the paper. To make sure you can successfully run the example scripts, execute the following steps in a new virtual environment. We use the **diffusers version** as **0.15.0.dev0** You can either install the
Excerpt of 14,472 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:84e892f5c0188cda, topic:text-to-image, desc:text-to-image, readme:text-to-image
matched fp:84e892f5c0188cda, topic:benchmark
matched fp:84e892f5c0188cda, topic:dataset, readme:dataset