|
|
--- |
|
|
title: UniGenBench Leaderboard (Chinese Long) |
|
|
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 |
|
|
|
