Awesome
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 environmentpip3 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.