[ICCV 2023] Official implement of <Disentangle then Parse: Night-time Semantic Segmentation with Illumination Disentanglement>

DenseTeacher: Dense Pseudo-Label for Semi-supervised Object Detection

[CVPR 2023] Official implementation of the paper "Semi-DETR: Semi-Supervised Object Detection with Detection Transformers"

Official PyTorch code and dataset of the paper "Local Color Distributions Prior for Image Enhancement" [ECCV2022]

[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564

[ICLR 2023] Selective Frequency Network for Image Restoration

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

[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors

Domain Adaptation for Image Dehazing, CVPR2020

Implementation of CVPR2022 "Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition"

Zeyuan Chen, Yangchao Wang, Yang Yang and Dong Liu. "PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

The source code of CVPR 2020 paper "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion"

Official PyTorch implementation of "AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network" in CVPR 2022.

This is the official repository for ICRA-2023 paper "STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation"

The state-of-the-art image restoration model without nonlinear activation functions.

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

[IEEE TIP] Vision Transformers for Single Image Dehazing

Compound Multi-branch Feature Fusion for Real Image Restoration

Rethinking Performance Gains in Image Dehazing Networks

[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061

[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention

Densely Connected Pyramid Dehazing Network (CVPR'2018)

Test-time Local Converter

[NeurIPS 2020] Blind Video Temporal Consistency via Deep Video Prior

[CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network

DehazeNet: An End-to-End System for Single Image Haze Removal