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

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

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

official github code for "SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing"

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

[NeurIPS2024 Spotlight] Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network

The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".

A Python2 implementation of single image haze removal

NeurIPS 2021 paper: Learning to Dehaze with Polarization

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

Transfer DeBlurGan to dehaze

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.

HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing [ICCV 2025]

Dataset and code of our AAAI2022 paper "Transmission-Guided Bayesian Generative Model for Smoke Segmentation"

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

Vapoursynth function to remove video distortions, turbulance, wobble, warp, heat haze, or similar

A python package of robust and effective defogging/dehazing method

This is an python implementation of "single image haze removal using dark channel prior"

Lightweight and Efficient Image Dehazing Network Guided by Transmission Estimation from Real-world Hazy Scenes; accepted by Sensors 2021, 21(3), 960, MDPI; https://doi.org/10.3390/s21030960