Text-to-Video
English

[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.

πŸ’‘ 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}
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Datasets used to train BestWishYsh/ChronoMagic-Bench

Collection including BestWishYsh/ChronoMagic-Bench