Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing

This repository is an Pytorch implementation of the paper Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing and the supplementary materials of this paper can be found here.

How to use

The file demo_image.py provides a demo for solving block-wise Gaussian compressive sensing problem with a test image boats.tif. No training dataset is required.

python3 demo_image.py --gpu 0 --CS_ratio 40 

How to cite

@article{pang2020self,
  title={Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing},
  author={Pang, Tongyao and Quan, Yuhui and Ji, Hui},
  booktitle={ECCV},
  year={2020}
}