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| title: UniGenBench Leaderboard (English) | |
| 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 | |