self2self_pytorch

Introduction

This is a pytorch implementation of self2self, "Yuhui Quan, Mingqin Chen, Tongyao Pang, Hui Ji; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 1890-1898."

Simply run self2self.py:

python self2self.py

The denoised images will be saved in images/, and the corresponding models will be saved in models/.

Examples

The original image, noisy image, and the results after 2000, 20000, and 12600 iterations are shown below.