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Image Dehazing 벤치마크

Image Dehazing on SOTS Indoor

68개 결과 · ⬇ CSV · JSON

PSNR

19.25 25.12 30.98 36.85 42.72 2017-10 2026-09 AOD-Net — 20.51 (2017-10-01) AOD-Net — 20.51 (2017-10-01) GFN — 22.3 (2018-03-31) GFN — 22.3 (2018-03-31) GMAN — 20.53 (2018-10-05) GMAN — 20.53 (2018-10-05) GCANet — 30.23 (2018-11-21) GCANet — 30.23 (2018-11-21) Deep DCP — 19.25 (2018-12-06) Deep DCP — 19.25 (2018-12-06) EPDN — 25.06 (2019-06-01) EPDN — 25.06 (2019-06-01) GridDehazeNet — 32.16 (2019-08-08) GridDehazeNet — 32.16 (2019-08-08) FFA-Net — 36.39 (2019-11-18) FFA-Net — 36.39 (2019-11-18) AECR-Net — 37.17 (2021-04-19) AECR-Net — 37.17 (2021-04-19) Uformer — 31.91 (2021-06-06) Uformer — 31.91 (2021-06-06) EMRA-Net — 25.72 (2021-06-23) EMRA-Net — 25.72 (2021-06-23) PMNet — 38.41 (2021-11-18) PMNet — 38.41 (2021-11-18) U2-Former — 36.42 (2021-12-04) U2-Former — 36.42 (2021-12-04) MAXIM-2S — 38.11 (2022-01-09) MAXIM-2S — 38.11 (2022-01-09) DehazeFormer-L — 40.05 (2022-04-08) DehazeFormer-L — 40.05 (2022-04-08) HDM — 38.56 (2022-08-10) HDM — 38.56 (2022-08-10) gUNet-D — 41.34 (2022-09-23) gUNet-D — 41.34 (2022-09-23) FocalNet — 40.82 (2023-01-01) FocalNet — 40.82 (2023-01-01) DEA-Net-CR — 41.31 (2023-01-12) DEA-Net-CR — 41.31 (2023-01-12) C2PNet — 42.56 (2023-03-24) C2PNet — 42.56 (2023-03-24) SFNet — 41.24 (2023-04-13) SFNet — 41.24 (2023-04-13) IRNeXt — 41.21 (2023-04-24) IRNeXt — 41.21 (2023-04-24) MixDehazeNet — 42.62 (2023-05-28) MixDehazeNet — 42.62 (2023-05-28) SANet — 40.4 (2023-08-01) SANet — 40.4 (2023-08-01) FSNet — 42.45 (2023-11-06) FSNet — 42.45 (2023-11-06) ChaIR — 41.95 (2023-12-20) ChaIR — 41.95 (2023-12-20) DSANet — 41.36 (2024-03-01) DSANet — 41.36 (2024-03-01) OKNet — 40.79 (2024-03-24) OKNet — 40.79 (2024-03-24) CL2S — 35.36 (2024-05-23) CL2S — 35.36 (2024-05-23) ConvIR — 42.72 (2024-06-25) ConvIR — 42.72 (2024-06-25) MaIR — 39.45 (2024-12-28) MaIR — 39.45 (2024-12-28) SAD-Net — 41.71 (2025-04-07) SAD-Net — 41.71 (2025-04-07) AOD-Net — 20.51 (2017-10-01) GFN — 22.3 (2018-03-31) GCANet — 30.23 (2018-11-21) GridDehazeNet — 32.16 (2019-08-08) FFA-Net — 36.39 (2019-11-18) AECR-Net — 37.17 (2021-04-19) PMNet — 38.41 (2021-11-18) DehazeFormer-L — 40.05 (2022-04-08) gUNet-D — 41.34 (2022-09-23) C2PNet — 42.56 (2023-03-24) MixDehazeNet — 42.62 (2023-05-28) ConvIR — 42.72 (2024-06-25)
RankModel PSNRSSIM PaperCodeYear
1 ConvIR 42.720.997 Revitalizing Convolutional Network for Image Restoration c-yn/ConvIR 2024
2 MixDehazeNet 42.620.997 MixDehazeNet : Mix Structure Block For Image Dehazing Network ameryxiong/mixdehazenet 2023
3 C2PNet 42.560.9954 Curricular Contrastive Regularization for Physics-aware Single Image Dehazing yuzheng9/c2pnet 2023
4 FSNet 42.450.997 Image Restoration via Frequency Selection c-yn/FSNet 2023
5 ChaIR 41.950.997 Exploring the potential of channel interactions for image restoration c-yn/ChaIR 2023
6 SAD-Net 41.710.993 SAD-Net: a full spectral self-attention detail enhancement network for single image dehazing niuqj/SAD-Net 2025
7 DSANet 41.360.997 Dual-domain strip attention for image restoration c-yn/DSANet 2024
8 gUNet-D 41.340.996 Rethinking Performance Gains in Image Dehazing Networks idkiro/gunet 2022
9 DEA-Net-CR 41.310.9945 DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention cecret3350/DEA-Net 2023
10 SFNet 41.240.996 Selective Frequency Network for Image Restoration c-yn/SFNet 2023
11 IRNeXt 41.210.996 IRNeXt: Rethinking Convolutional Network Design for Image Restoration c-yn/IRNeXt 2023
12 FocalNet 40.820.996 Focal Network for Image Restoration c-yn/focalnet 2023
13 OKNet 40.790.996 Omni-Kernel Network for Image Restoration c-yn/OKNet 2024
14 SANet 40.400.996 Strip Attention for Image Restoration c-yn/SANet 2023
15 DehazeFormer-L 40.050.996 Vision Transformers for Single Image Dehazing IDKiro/DehazeFormer 2022
16 MaIR 39.450.997 MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration XLearning-SCU/2025-CVPR-MaIR 2024
17 HDM 38.560.991 Learning Hierarchical Dynamics with Spatial Adjacency for Image Enhancement DongLiangSXU/HDM 2022
18 PMNet 38.410.99 Perceiving and Modeling Density is All You Need for Image Dehazing Owen718/Perceiving-and-Modeling-Density-is-All-You-Need-for-Image-Dehazing 2021
19 MAXIM-2S 38.11– MAXIM: Multi-Axis MLP for Image Processing google-research/maxim · vztu/maxim-pytorch · sayakpaul/maxim-tf 2022
20 AECR-Net 37.170.990 Contrastive Learning for Compact Single Image Dehazing GlassyWu/AECR-Net · Booooooooooo/AECRNet-MindSpore · dmcv-ecnu/MindSpore_ModelZoo · +7 2021
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