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Underwater Image Enhancement on UIEB (test)

23.63PSNRSemi-UIR
11.63141614.74643317.8614520.976467Jan 11, 2019Apr 1, 2020Jun 22, 2021Sep 12, 2022Dec 2, 2023Feb 21, 2025May 14, 2026

Evaluation results

MethodLinks
Semi-UIR2026.0523.63—86.80.12
ADR2026.0522.97—90.40.1175
UDehaze-iT2026.0522.1—88.420.1143
SCNet2026.0522.08—86.250.1936
SCNet2026.0522.08—86.250.1936
Ucolor2026.0521.97—84.120.1945
Ucolor2026.0521.97—84.120.1945
Espinosa et al.2026.0520.92—88.02—
Espinosa et al.2026.0520.92—88.02—
I2I-RFRBackbone=Palette [40]2026.0320—84.690.1632
NU2Net2026.0519.8—86.060.1833
NU2Net2026.0519.8—86.060.1833
I2I-RFRBackbone=SFGNet [55]2026.0319.69—85.150.164
I2I-RFR-CLBackbone=SFGNet [55], Variant=composite-loss2026.0319.63—84.70.1674
I2I-RFRBackbone=Tang et al. [47]2026.0319.56—84.620.1637
Shallow-UWnet2026.0519.48—84.960.1828
Shallow-UWnet2026.0519.48—84.960.1828
Chen et al.2026.0519.37—87.70.1947
Chen et al.2026.0519.37—87.70.1947
Water-Net2026.0519.31—83.030.2016
Water-Net2026.0519.31—83.030.2016
Water-NetInput Resolution=112x112, Inference Resolution=640x4802019.0119.1130.797679.71—
SFGNet2026.0318.82—83.150.1738
Palette2026.0317.73—65.420.3113
I2I-RFRBackbone=U-Net [39]2026.0317.69—80.920.2203
fusion-based2019.0117.60771.12877.21—
Dense GAN2019.0117.28431.215244.26—
U-Net2026.0317.2—79.570.2352
retinex-based2019.0117.01681.292460.71—
PCDE2026.0515.83—70.320.3498
PCDE2026.0515.83—70.320.3498
histogram prior2019.0115.82151.701953.96—
Water CycleGAN2019.0115.75081.729852.1—
blurriness-based2019.0115.3181.911160.29—
Tang et al.Backbone=DDPM2026.0314.63—71.10.2339
IBLA2026.0514.39—57.330.4299
IBLA2026.0514.39—57.330.4299
GDCP2019.0112.09294.01651.21—