Giter VIP home page Giter VIP logo

dcvc's Introduction

Introduction

Official Pytorch implementation for Neural Video and Image Compression including:

On the comparison

Please note that different methods may use different configurations to test different models, such as

  • Source video may be different, e.g., cropped or padded to the desired resolution.
  • Intra period may be different, e.g., 96, 32, 12, or 10.
  • Number of encoded frames may be different.

So, it does not make sense to compare the numbers in different methods directly, unless making sure they are using same test conditions.

Please find more details on the test conditions.

Acknowledgement

The implementation is based on CompressAI and PyTorchVideoCompression.

Citation

If you find this work useful for your research, please cite:

@article{li2021deep,
  title={Deep Contextual Video Compression},
  author={Li, Jiahao and Li, Bin and Lu, Yan},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  year={2021}
}

@article{sheng2022temporal,
  title={Temporal context mining for learned video compression},
  author={Sheng, Xihua and Li, Jiahao and Li, Bin and Li, Li and Liu, Dong and Lu, Yan},
  journal={IEEE Transactions on Multimedia},
  year={2022},
  publisher={IEEE}
}

@inproceedings{li2022hybrid,
  title={Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression},
  author={Li, Jiahao and Li, Bin and Lu, Yan},
  booktitle={Proceedings of the 30th ACM International Conference on Multimedia},
  year={2022}
}

@inproceedings{li2023neural,
  title={Neural Video Compression with Diverse Contexts},
  author={Li, Jiahao and Li, Bin and Lu, Yan},
  booktitle={{IEEE/CVF} Conference on Computer Vision and Pattern Recognition,
             {CVPR} 2023, Vancouver, Canada, June 18-22, 2023},
  year={2023}
}

@inproceedings{li2024neural,
  title={Neural Video Compression with Feature Modulation},
  author={Li, Jiahao and Li, Bin and Lu, Yan},
  booktitle={{IEEE/CVF} Conference on Computer Vision and Pattern Recognition,
             {CVPR} 2024, Seattle, WA, USA, June 17-21, 2024},
  year={2024}
}

@inproceedings{wang2023EVC,
  title={EVC: Towards Real-Time Neural Image Compression with Mask Decay},
  author={Wang, Guo-Hua and Li, Jiahao and Li, Bin and Lu, Yan},
  booktitle={International Conference on Learning Representations},
  year={2023}
}

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft’s Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party’s policies.

dcvc's People

Contributors

deepmc-dcvc avatar dependabot[bot] avatar ustclibin avatar yaohualibin avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.