/DehazeZoo

DehazeZoo for collecting dehazing methods, datasets, and codes.

DehazeZoo (Single Image vs. Video Based)

Updated by Xiang Chen.

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.

2 Image Quality Metrics

3 Dehazing Research

3.1 Datasets

3.2 Papers

2022

  • Hong et al, Uncertainty-Driven Dehazing Network. (AAAI) [paper][code]

2021

  • Li et al, DehazeFlow：Multi-scale Conditional Flow Network for Single Image Dehazing. (ACMMM) [paper][code]
  • Chang et al, DAMix: Density-Aware Data Augmentation for Unsupervised Domain Adaptation on Single Image Dehazing. [paper][code]
  • Zhao et al, Hybrid Local-Global Transformer for Image Dehazing. [paper][code]
  • Liu et al, From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data. (ACMMM) [paper][code]
  • Chen et al, PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors. (CVPR) [paper][code]
  • Zheng et al, Ultra-High-Defifinition Image Dehazing via Multi-Guided Bilateral Learning. (CVPR) [paper][code]
  • Wu et al, Contrastive Learning for Compact Single Image Dehazing. (CVPR) [paper][code]
  • Shyam et al, Towards Domain Invariant Single Image Dehazing. (AAAI) [paper][code]
  • Liu et al, Indirect Domain Shift for Single Image Dehazing. [paper][code]
  • Yi et al, Two-Step Image Dehazing with Intra-domain and Inter-domain Adaption. [paper][code]

2020

  • Dong et al, Physics-based Feature Dehazing Networks. (ECCV) [paper][code]
  • Deng et al, HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing. (ECCV) [paper][code]
  • Anvari et al, Dehaze-GLCGAN: Unpaired Single Image De-hazing via Adversarial Training. [paper][code]
  • Zhang et al, Nighttime Dehazing with a Synthetic Benchmark. [paper][code]
  • Kar et al, Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing. (CVPR) [paper][code]
  • 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]

2019

  • 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]

2018

  • 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]

Before

  • Li 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]
  • Zhu 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]

4 Note

  • The above content is constantly updated, welcome continuous attention!

5 Contact

  • If you have any question, please feel free to contact Xiang Chen (Email: cv.xchen@gmail.com).