README.md

metadata

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

[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

• Repository: Code, Page, Data
• Paper: https://huggingface.co/papers/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, 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}
}