metadata
license: apache-2.0
datasets:
- BestWishYsh/ChronoMagic-Pro
- BestWishYsh/ChronoMagic-ProH
- BestWishYsh/ChronoMagic-Bench
language:
- en
pipeline_tag: text-to-video
[NeurIPS D&B 2024 Spotlight] ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
If you like our project, please give us a star ⭐ on GitHub for the latest update.
💡 Description
- Venue: NeurIPS 2024 D&B Spotlight
- Repository: Code, Page, Data
- Paper: arxiv.org/abs/2406.18522
- Point of Contact: Shenghai Yuan
✏️ Citation
If you find our paper and code useful in your research, please consider giving a star and citation.
@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}
}