PSNR/SSIM_haze4k

Method

会议名称

数据集

PSNR/SSIM

Domain Adaptation for Image Dehazing（图像去雾的域自适应算法）

[CVPR2020]

SOTS

27.76/0.93

Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning（基于多引导双边学习的超高清图像去雾

[CVPR2021]

4KID数据集

20.56/0.8823

[ECCV2020] HardGAN: A Haze-Aware RepresentationDistillation GAN for Single Image Dehazing（基于蒸馏GAN的单图像去雾）

[ECCV2020]

SOTS

34.34/0.9871

Visual Haze Removal by a Unified GenerativeAdversarial Network(基于生成式对抗网络的图像去雾）

[IEEE2019]

NYU２数据集

25.84/0.9214

Patch Map-Based Hybrid LearningDehazeNet for Single ImageHaze Removal（基于Patch Map的去雾网络）

[IEEE2020]

SOTS

25.01/0.9

Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond(学习聚合传播去雾网络)

[IEEE 2018]

NYU2数据集

15.89/0.76

Distilling Image Dehazing With Heterogeneous Task Imitation

[CVPR 2020]

SOTS

34.72/0.9845

Middlebury

17.27/0.8676

FD-GAN: Generative Adversarial Networks with Fusion- discriminator for Single Image Dehazing

[AAAI 2020]

SOTS

23.1529/0.9207

NTIRE’18

18.0684/0.7300

Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing

[CVPR 2020 ]

NH-HAZE

16.94/0.6177

You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network

[2020]

SOTS

19.41/0.8327

HSTS

23.82/0.9125

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

[AAAI 2020]

SOTS

Indoor:36.39/0.9886

Outdoor:33.57/0.9840

From Synthetic to Real Image Dehazing Collaborating with Unlabeled Real Data

[ACM MM 2021]

SOTS

29.42/0.97

Haze4K

28.53/0.96

HazeRD

18.55/0.85

Learning to Dehaze From Realistic Scene with A Fast Physics-based Dehazing Network

[2020]

RESIDE

30.33/0.9743

BidNet： Binocular Image Dehazing without Explicit Disparity Estimation

[CVPR2020]

Cityscapes数据集

25.6728/0.9451

Densely Connected Pyramid Dehazing Network

【CVPR2018】

NYU-depth2

    /0.9560

Middlebury stereo

/0.8746

PMS-Net: Robust Haze Removal Based on Patch Map for Single Images（基于单幅图像贴图的稳健除雾）

【CVPR2019)】

NYU-depth2

19.2121/0.8684

RESIDE

20.152/0.8775

Dense Scene Information Estimation Network for Dehazing

【CVPR2019】

NTIRE-2018-outdoor

24.4604/0.7932

NTIRE-2018-indoor

22.3247/0.8894

NTIRE-2019

17.1499/0.5395

Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

【CVPR2018】

I-HAZE

18.03/0.80

O-HAZE

19.92/0.64

Deep Multi-Model Fusion for Single-Image Dehazing

[ICCV 2019]

SOTS

34.29/0.9844

O-HAZE

25.188/0.777

Contrastive Learning for Compact Single Image Dehazing

[CVPR 2021]

SOTS

37.17/0.9901

NH-HAZE

19.88/0.7173

(PMS-Net: Robust Haze Removal Based on Patch Map for Single Images

[CVPR 2019]

NYU-depth2

19.2121/0.8684

RESIDE

20.152/0.8775

Bidirectional Deep Residual learning for Haze Removal

[CVPR 2019]

DIV2K

29.89/0.909

Deep Fusion Network for Single ImageHaze Removal

[IEEE-TIP2020]

SOTS

21.4375/0.8716

D-HAZE

17.2009/0.8621

OHI

24.1461/0.9121

Multi-Scale Deep Residual Learning-Based SingleImage Haze Removal via Image Decomposition

[IEEE-TIP2020]

SOTS

25.33/0.91

HSTS

26.23/0.80

OTS

26.53/0.85