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[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution
Learning A Spiking Neural Network for Efficient Image Deraining (IJCAI 2024)
Official respository for the paper "Latent Degradation Representation Constraint for Single Image Deraining"."
Multi-Scale Progressive Fusion Network for Single Image Deraining
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
A Pytorch implementation for DehazeNet in paper 'DehazeNet: An End-to-End System for Single Image Haze Removal'
This repo contains the official training and testing codes for our paper: GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.
MATLAB implementation of the paper "Non-Local Image Dehazing", CVPR 2016
The source code of CVPR 2020 paper "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion"
Implementation of "Gated Context Aggregation Network for Image Dehazing and Deraining"
Code release for ConvNeXt V2 model
Official PyTorch implementation of dehazing method based on FFC and ConvNeXt, 1st place solution of NTIRE 2023 HR NonHomogeneous Dehazing Challenge (CVPR Workshop 2023).
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Official PyTorch implementation of Two-branch Dehazing, wining runner-up awards in NTIRE 2021.
Official PyTorch implementation of the Winner Award solution of NTIRE 2023 NonHomogeneous Dehazing Challenge (CVPR Workshop 2023).
[CVPRW 2023] SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing
[IEEE TIP] Vision Transformers for Single Image Dehazing
PyTorch implementation of some single image dehazing networks.