---
title: ChronoMagic Bench
emoji: 🥇
colorFrom: green
colorTo: indigo
sdk: gradio
app_file: app.py
license: apache-2.0
sdk_version: 5.31.0
short_description: A Benchmark for Metamorphic Evaluation of T2V Generation
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/63468720dd6d90d82ccf3450/3DHmAAzSsKWiGRYMY7bWu.jpeg
---
If you like our project, please give us a star ⭐ on GitHub for the latest update.
## 💡 Description
- **Repository:** [Code](https://github.com/PKU-YuanGroup/ChronoMagic-Bench), [Page](https://pku-yuangroup.github.io/ChronoMagic-Bench/), [Data](https://huggingface.co/collections/BestWishYsh/chronomagic-bench-667bea7abfe251ebedd5b8dd)
- **Paper:** [https://huggingface.co/papers/2406.18522](https://huggingface.co/papers/2406.18522)
- **Point of Contact:** [Shenghai Yuan](shyuan-cs@hotmail.com)
## ✏️ Citation
If you find our paper and code useful in your research, please consider giving a star and citation.
```BibTeX
@article{yuan2024chronomagic,
title={Chronomagic-bench: A benchmark for metamorphic evaluation of text-to-time-lapse video generation},
author={Yuan, Shenghai and Huang, Jinfa and Xu, Yongqi and Liu, Yaoyang and Zhang, Shaofeng and Shi, Yujun and Zhu, Rui-Jie and Cheng, Xinhua and Luo, Jiebo and Yuan, Li},
journal={Advances in Neural Information Processing Systems},
volume={37},
pages={21236--21270},
year={2024}
}
```