| --- |
| title: UniGenBench Leaderboard |
| emoji: 🏅 |
| colorFrom: indigo |
| colorTo: pink |
| sdk: gradio |
| sdk_version: 5.43.1 |
| app_file: app.py |
| pinned: true |
| license: mit |
| short_description: 'UniGenBench: a unified T2I generation benchmark.' |
| --- |
| |
| ## UniGenBench |
|
|
| UniGenBench is a unified T2I generation benchmark. |
|
|
| For further details, please refer to the following resources: |
| - 📰 Paper: https://arxiv.org/pdf/2508.20751 |
| - 🪐 Project Page: https://codegoat24.github.io/UnifiedReward/Pref-GRPO |
| - 🤗 UniGenBench: https://github.com/CodeGoat24/UniGenBench |
| - 🤗 Leaderboard: https://huggingface.co/spaces/CodeGoat24/UniGenBench_Leaderboard |
| - 👋 Point of Contact: [Yibin Wang](https://codegoat24.github.io) |
| |
| |
| |
| Citation |
| ``` |
| @article{UniGenBench, |
| title={Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning}, |
| author={Wang, Yibin and Li, Zhimin and Zang, Yuhang and Zhou, Yujie and Bu, Jiazi and Wang, Chunyu and Lu, Qinglin, and Jin, Cheng and Wang, Jiaqi}, |
| journal={arXiv preprint arXiv:2508.20751}, |
| year={2025} |
| } |
| ``` |
| |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
| |
