README.md

---
license: apache-2.0
datasets:
- BestWishYsh/ChronoMagic-Pro
- BestWishYsh/ChronoMagic-ProH
- BestWishYsh/ChronoMagic-Bench
language:
- en
pipeline_tag: text-to-video
---

<div align=center>
<img src="https://github.com/PKU-YuanGroup/ChronoMagic-Bench/blob/ProjectPage/static/images/logo_bench.jpg?raw=true" width="450px">
</div>
<h2 align="center"> <a href="https://pku-yuangroup.github.io/ChronoMagic-Bench/">[NeurIPS D&B 2024 Spotlight] ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation </a></h2>

<h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for the latest update.  </h2>


## 💡 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}
}
```