Text-to-Video
English
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  <h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for the latest update. </h2>
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- ## Space Description
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  - **Venue:** NeurIPS 2024 D&B Spotlight
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- - **Repository:** [ChronoMagic-Bench](https://github.com/PKU-YuanGroup/ChronoMagic-Bench)
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  - **Paper:** arxiv.org/abs/2406.18522
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- - **Point of Contact:** [Shenghai Yuan]([email protected])
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for the latest update. </h2>
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+ ## 💡 Description
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  - **Venue:** NeurIPS 2024 D&B Spotlight
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+ - **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)
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  - **Paper:** arxiv.org/abs/2406.18522
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+ - **Point of Contact:** [Shenghai Yuan]([email protected])
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+
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+ ## ✏️ Citation
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+ If you find our paper and code useful in your research, please consider giving a star and citation.
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+
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+ ```BibTeX
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+ @article{yuan2024chronomagic,
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+ title={Chronomagic-bench: A benchmark for metamorphic evaluation of text-to-time-lapse video generation},
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+ 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},
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+ journal={arXiv preprint arXiv:2406.18522},
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+ year={2024}
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+ }
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+ ```