This repository contains a Pytorch inference model of CBDNet from:
Guo, S., Yan, Z., Zhang, K., Zuo, W., & Zhang, L.
"Toward convolutional blind denoising of real photographs."
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2019).
The pre-trained models are produced by converting their original models in CBDNet using pytorch-mcn.
Testing code for small images or image patches (a rewrite of "Test_Patches.m" in the original code):
python3 Test_Patches.py
