图像去雾的目的是消除雾霾环境对图像质量的影响，增加图像的可视度，是图像处理和计算机视觉领域共同关切的前沿课题，吸引了国内外研究人员的广泛关注。在github上 cxtalk列举了图像去雾近年来经典论文、评估指标与数据集，在此转载以便记录。

转载自：DehazeZoo (Single Image vs. Video Based) https://github.com/cxtalk/DehazeZoo

DehazeZoo (Single Image vs. Video Based)

Xiang Chen, Yufeng Li, Yufeng Huang

1 Description

DehazeZoo: A survey on haze removal from video and single image. Papers, codes and datasets are maintained.
Thanks for the sharing of DerainZoo by Youzhao Yang.
More details about image dehazing and deraining are available here.

Shen et al, Implicit Euler ODE Networks for Single-Image Dehazing. [paper][code]
Liu et al, Efficient Unpaired Image Dehazing with Cyclic Perceptual-Depth Supervision. [paper][code]
Li et al, You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network. [paper][code]
Pang et al, BidNet: Binocular Image Dehazing without Explicit Disparity Estimation. (CVPR) [paper][code]
Sourya et al, Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing. [paper][code]
Dong et al, Multi-Scale Boosted Dehazing Network with Dense Feature Fusion. (CVPR) [paper][code]
Li et al, Learning to Dehaze From Realistic Scene with A Fast Physics Based Dehazing Network. [paper][code]
Shao et al, Domain Adaptation for Image Dehazing. (CVPR) [paper][code][web]
Wu et al, Accurate Transmission Estimation for Removing Haze and Noise from a Single Image. (TIP) [paper][code]
Ren et al, Single Image Dehazing via Multi-Scale Convolutional Neural Networks with Holistic Edges. (IJCV) [paper][code]
Dong et al, FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing. [paper][code]
Qin et al, FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. (AAAI) [paper][code]

Wu et al, Learning Interleaved Cascade of Shrinkage Fields for Joint Image Dehazing and Denoising. (TIP) [paper][code]
Li et al, Semi-Supervised Image Dehazing. (TIP) [paper][code]
Li et al, Benchmarking Single Image Dehazing and Beyond. (TIP) [paper][code][web]
Pei et al, Classification-driven Single Image Dehazing. [paper][code]
Liu et al, GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing. (ICCV) [paper][code]
Li et al, Joint haze image synthesis and dehazing with mmd-vae losses. [paper][code]
Peter et al, Feature Forwarding for Efficient Single Image Dehazing. [paper][code]
Shu et al, Variational Regularized Transmission Refinement for Image Dehazing. [paper][code]
Liu et al, End-to-End Single Image Fog Removal using Enhanced Cycle Consistent Adversarial Networks. [paper][code]
Chen et al, Gated Context Aggregation Network for Image Dehazing and Deraining. (WACV) [paper][code]
Ren et al, Deep Video Dehazing with Semantic Segmentation. (TIP) [paper][code]

Ren et al, Gated Fusion Network for Single Image Dehazing. (CVPR) [paper][code][web]
Zhang et al, FEED-Net: Fully End-To-End Dehazing. (ICME) [paper][code]
Zhang et al, Densely Connected Pyramid Dehazing Network. (CVPR) [paper][code]
Yang et al, Towards Perceptual Image Dehazing by Physics-based Disentanglement and Adversarial Training. (AAAI) [paper][code]
Deniz et al, Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing. (CVPRW) [paper][code]

Ren et al, An All-in-One Network for Dehazing and Beyond. (ICCV) [paper][code][web]
Zhu et al, Single Image Dehazing via Multi-Scale Convolutional Neural Networks. (ECCV) [paper][code][web]
Cai et al, DehazeNet: An end-to-end system for single image haze removal. (TIP) [paper][code][web]
Ren et al, A fast single image haze removal algorithm using color attenuation prior. (TIP) [paper][code]
He et al, Single Image Haze Removal Using Dark Channel Prior. (CVPR) [paper][code]

If you have any question, please feel free to contact Xiang Chen (Email: cx@cvgpu.com).