deraining

[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

DerainZoo for collecting deraining methods, datasets, and codes.

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

Single Image Deraining: A Comprehensive Benchmark Analysis

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

[CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim

[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model

Pytorch Code for the paper TransWeather - CVPR 2022

PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)

Implementation of MAXIM in TensorFlow.

Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.

This paper is accepted by ICCV 2021.

A low-level vision zoo for dehazing, deblurring, denoising, deraining, inpainting, color enhancement, brightening, and super resolution .

A PyTorch implementation of Restormer based on CVPR 2022 paper "Restormer: Efficient Transformer for High-Resolution Image Restoration"

This is the project page of our paper which has been published in ECCV 2020.

This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.

Memory Oriented Transfer Learning for Semi-Supervised Image Deraining

[CVPR 2022] Unofficial repository for "MAXIM: Multi-Axis MLP for Image Processing". Official repo: https://github.com/google-research/maxim

This is the source code of PMS-Net: Robust Haze Removal Based on Patch Map for Single Images which has been published in CVPR 2019 Long Beach

Official Pytorch Code for "Exploring Overcomplete Representations for Single Image Deraining using CNNs" - IEEE Journal of STSP