Adaptive Sampling

This is the code for cvpr 2022 paper "Self-supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics".

Usage instructions.

See the requirements.txt to install the dependent packages and libraries.

Installation instructions, including any requirements.

See the requirements.txt to install the dependent packages and libraries.

• Use conda constrcut the virtual environment

  pip3 install virtualenv
  virtualenv --no-site-packages --python=python3 ASGLD
  source ASGLD/bin/activate # enter the environment 
  pip3 install -r requirements.txt # install the dependency 
  deactivate

Citation

If you find our work useful in your research or publication, please cite it:

 @inproceedings{wang2022self,
  title={Self-supervised deep image restoration via adaptive stochastic gradient langevin dynamics},
  author={Wang, Weixi and Li, Ji and Ji, Hui},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={1989--1998},
  year={2022}
}

Phase Retrieval

If you have any questions of the code, please feel free to contact Ji Li.