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HD-VG-130M Dataset

This is the dataset from the paper "VideoFactory: Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation", Wenjing Wang, Huan Yang, Zixi Tuo, Huiguo He, Junchen Zhu, Jianlong Fu, Jiaying Liu.

We curate a large-scale video dataset called HD-VG-130M. This dataset comprises 130 million text-video pairs from the open-domain, ensuring high-definition, widescreen and watermark-free characters.

UPDATE: We have created a new higher-quality 40M subset, taking into account text, motion, and aesthetics. This subset will be released soon.

Download link: Google Drive.

🎉 Up to January 2024, our dataset has been downloaded by more than 50 universities and research institutes!

LICENSE AGREEMENT

By downloading or using the data, you understand, acknowledge, and agree to all the terms in the following agreement.

• ACADEMIC USE ONLY

  Any content from HD-VG-130M dataset is available for academic research purposes only. You agree not to reproduce, duplicate, copy, trade, or exploit for any commercial purposes

• NO DISTRIBUTION

  Respect the privacy of personal information of the original source. Without the permission of the copyright owner, you are not allowed to perform any form of broadcasting, modification or any other similar behavior to the data set content.

• RESTRICTION AND LIMITATION OF LIABILITY

  In no event shall we be liable for any other damages whatsoever arising out of the use of, or inability to use this dataset and its associated software, even if we have been advised of the possibility of such damages.

• DISCLAIMER

  You are solely responsible for legal liability arising from your improper use of the dataset content. We reserve the right to terminate your access to the dataset at any time. You should delete the HD-VG-130M dataset if required.

If you have further questions, you may contact: Wenjing Wang (daooshee@pku.edu.cn)

@article{videofactory,
  title={VideoFactory: Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation},
  author={Wang, Wenjing and Yang, Huan and Tuo, Zixi and He, Huiguo and Zhu, Junchen and Fu, Jianlong and Liu, Jiaying},
  journal={arXiv preprint arXiv:2305.10874},
  year={2023}
}