- Nov. 22, 2024. Rep initialization.
- Release Dataset within the next three months.
- Building Leaderboard.
- Release Metric Scripts.
MovieBench is a Hierarchical Movie-Level Dataset for Long Video Generation, which addresses these challenges by providing unique contributions: (1) movie-length videos featuring rich, coherent storylines and multi-scene narratives, (2) consistency of character appearance and audio across scenes, and (3) hierarchical data structure contains high-level movie information and detailed shot-level descriptions. Experiments demonstrate that MovieBench brings some new insights and challenges, such as maintaining character ID consistency across multiple scenes for various characters. The dataset will be public and continuously maintained, aiming to advance the field of long video generation.
@misc{wu2024moviebenchhierarchicalmovielevel,
title={MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation},
author={Weijia Wu and Mingyu Liu and Zeyu Zhu and Xi Xia and Haoen Feng and Wen Wang and Kevin Qinghong Lin and Chunhua Shen and Mike Zheng Shou},
year={2024},
eprint={2411.15262},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2411.15262},
}
- Thanks to Diffusers for the wonderful work.