Checkerboard-Context-Model-for-Efficient-Learned-Image-Compression

Checkerboard-Context-Model-for-Efficient-Learned-Image-Compression

Update

Cheng2020AnchorwithCheckerboard(cheng2020anchor with checkerboard context module) and CheckerboardContext.py

Environment

Ubuntu 18.04

Python 3.6

Pytorch 1.9.1

CompressAI 1.1.8

Train & Test

You can use example code from CompressAI to train and test a model

Reference

https://interdigitalinc.github.io/CompressAI/

https://arxiv.org/abs/2103.15306v2

Cite

@misc{jiang2021unofficialckbd,
    author={Jiang, Wei},
    title={Unofficial Checkerboard Context Model},
    howpublished={\url{https://github.com/JiangWeibeta/Checkerboard-Context-Model-for-Efficient-Learned-Image-Compression}},
    year={2021}
}

@inproceedings{he2021checkerboard,
  title={Checkerboard context model for efficient learned image compression},
  author={He, Dailan and Zheng, Yaoyan and Sun, Baocheng and Wang, Yan and Qin, Hongwei},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={14771--14780},
  year={2021}
}