This repository contains our series of works on Deep Hierarchical Video Compression.

• DHVC 1.0: The first hierarchical predictive coding method moves away from the hybrid coding framework, achieving best-in-class performance. Paper is available at Deep Hierarchical Video Compression (AAAI 2024).
• DHVC 2.0: The enhanced hierarchical predictive coding method, which integrates variable-rate intra- and inter-coding into a single model, delivering not only superior compression performance to representative methods but also real-time processing with a significantly smaller memory footprint on standard GPUs. Paper is available at High-Efficiency Neural Video Compression via Hierarchical Predictive Learning (arxiv 2024).

[2025.2.12] We have reconstructed the code and uploaded the pretrained models of DHVC 1.0.

If you find this work helpful to your research, please cite:

@inproceedings{lu2024deep,
  title={Deep Hierarchical Video Compression},
  author={Lu, Ming and Duan, Zhihao and Zhu, Fengqing and Ma, Zhan},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={8},
  pages={8859--8867},
  year={2024}
}
@article{lu2024high,
  title={High-Efficiency Neural Video Compression via Hierarchical Predictive Learning},
  author={Lu, Ming and Duan, Zhihao and Cong, Wuyang and Ding, Dandan and Zhu, Fengqing and Ma, Zhan},
  journal={arXiv preprint arXiv:2410.02598},
  year={2024}
}

If you have any question, feel free to contact us via minglu@nju.edu.cn or congwuyang@smail.nju.edu.cn.