"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging, ICCV2021 [PyTorch Code]

Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]

Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"

SwinIR: Image Restoration Using Swin Transformer (official repository)

Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Simple tutorials on Pytorch DDP training

Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)

Some tricks of pytorch... ⭐

This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".

Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Deep Adaptive Inference Networks for Single Image Super-Resolution

A New Optimization Technique for Deep Neural Networks

STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

Neural Blind Deconvolution Using Deep Priors (CVPR 2020)

This is the official website of our work 3D Appearance Super-Resolution with Deep Learning published on CVPR2019.

Project page of the CVPR2019 paper "Reliable and Efficient Image Cropping: A Grid Anchor based Approach"

Neural Nearest Neighbors Networks (NIPS*2018)

Simultaneous Fidelity and Regularization Learning for Image Restoration (TPAMI 2019)

DnCNN implement based on pytorch

A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"