image-denoising topic
Image-Denoising-with-Deep-CNNs
Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures
on-demand-learning
On-Demand Learning for Deep Image Restoration (ICCV 2017)
FUIR
A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐
SUNet
SUNet: Swin Transformer with UNet for Image Denoising
gcdn
Deep Graph-Convolutional Image Denoising
REDNet-pytorch
PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)
ARCNN-pytorch
PyTorch implementation of Deep Convolution Networks for Compression Artifacts Reduction (ICCV 2015)
R2Net
Pytorch code for "Attention Based Real Image Restoration", IEEE Transactions on Neural Networks and Learning Systems, 2021
NLRN
Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)
NLRN_v0
Code of Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)