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---
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
- **Venue:** NeurIPS 2024 D&B Spotlight
- **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:** arxiv.org/abs/2406.18522
- **Point of Contact:** [Shenghai Yuan]([email protected])
## ✏️ 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, Ruijie and Cheng, Xinhua and Luo, Jiebo and Yuan, Li},
journal={arXiv preprint arXiv:2406.18522},
year={2024}
}
``` |