There are 0 repository under deraining topic.
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
[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
Single Image Deraining: A Comprehensive Benchmark Analysis
Pytorch Code for the paper TransWeather - CVPR 2022
PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
[ICCV'23] Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
This paper is accepted by ICCV 2021.
A PyTorch implementation of Restormer based on CVPR 2022 paper "Restormer: Efficient Transformer for High-Resolution Image Restoration"
A low-level vision zoo for dehazing, deblurring, denoising, deraining, inpainting, color enhancement, brightening, and super resolution .
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.
This is the project page of our paper which has been published in ECCV 2020.
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
Video Enhancement For Surveillance
Code to implement Restormer-Plus, the Runner-up Solution to the GT-RAIN Challenge (CVPR 2023 UG2+ Track 3)
Visual Attentive GAN Project
This is the installation, training and validating guide for the "Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks", TPAMI-2019.
Inference code for "Unified Multi-Weather Transformer for Multi-Weather Image Restoration".
A PyTorch implementation of RCDNet based on CVPR 2020 paper "A Model-driven Deep Neural Network for Single Image Rain Removal"
多层次Gans的coarse-to-fine deraining model
Using a Convolutional Variational Autoencoder (CVAE) architecture to remove raindrop blurs from images
Raindrop-Removal Image Translation Using Target-Mask Network with Attention Module
Gated Fusion Network for Degraded Image Super-Resolution (IJCV 2020).