List your company

Underwater Image Enhancement on EUVP (test)

29.477PSNRLit-Net
6.5928412.5339218.47524.41608Jun 3, 2024Sep 28, 2024Jan 24, 2025May 22, 2025Sep 17, 2025Jan 13, 2026May 11, 2026

Evaluation results

MethodLinks
Lit-Net2025.1229.4770.8510.1693.0277.01132.109——————
TIDE2025.1229.4690.9060.1593.2817.06629.545——————
FUSION2025.1228.6710.8620.1743.227.04829.547——————
DWNet2025.1228.6540.8350.1733.0427.05130.856——————
CE-VAE2024.0627.750.890.2—————————
UShape-Transformer2024.0627.590.880.23—————————
UIESNNArchitecture Type=SNN2026.0526.970.8936—————16.72199.33———
Ushape2025.1226.8220.8110.1873.0526.84335.648——————
UGAN2025.1226.5510.8070.222.8966.83335.859——————
UGAN-P2025.1226.5490.8050.2232.9316.81635.099——————
FUnIE-GAN2025.1226.220.7920.2122.9716.89230.912——————
VLIFArchitecture Type=SNN2026.0525.690.8817—————15.72697.63———
ESDNetArchitecture Type=SNN2026.0525.360.8645—————12.81174.63———
Swin-PatchGAN2025.1224.760.89—4.18————————
DeepSESR2024.0624.220.850.25—————————
RADNlearning rate=0.001, patch size=48, batch size=22026.0523.6830.827———————0.1510.786—
FUnIE-GAN2024.0623.530.840.26—————————
FUnIEre-trained=true, learning rate=0.001, patch size=48, batch size=22026.0523.4510.758———————0.1590.634—
CCMSNetre-trained=true, learning rate=0.001, patch size=48, batch size=22026.0523.350.803———————0.1630.756—
UIE-DAL2025.1223.150.86—3.92————————
Semi-UIRre-trained=true, learning rate=0.001, patch size=48, batch size=22026.0522.9960.816———————0.2660.676—
U-shapere-trained=true, learning rate=0.001, patch size=48, batch size=22026.0522.0090.737———————1.0580.575—
WaterGAN2025.1221.340.83—3.78————————
TACLArchitecture Type=ANN2026.0520.990.782—————28.291,104.3———
UGAN2024.0620.980.830.31—————————
WaterNet2026.0119.9170.867—2.939——0.976—————
UIBLA2024.0618.950.740.33—————————
Shallowre-trained=true, learning rate=0.001, patch size=48, batch size=22026.0518.9420.644———————1.3940.432—
TWIN2024.0618.910.790.32—————————
Cluie-Net2024.0618.90.780.3—————————
UDCP2025.1218.760.79—3.45————————
Spectroformer2024.0618.70.790.32—————————
RGHS2024.0618.050.780.31—————————
UIE-WDArchitecture Type=ANN2026.0517.80.76—————14.46472.7———
Histogram Equalization2025.1217.230.74—3.12————————
Input2025.1216.450.72—2.89————————
UWCNNre-trained=true, learning rate=0.001, patch size=48, batch size=22026.0515.3340.638———————3.660.334—
DIVER2026.0115.0710.881—2.942——1.279—————
UDCP2024.0614.520.590.35—————————
P2CNet2026.0111.4050.865—2.939——1.154—————
IBLA2026.0110.0890.812—2.196——0.724—————
Spectoformer2026.019.2960.842—2.812——0.707—————
ULAP2026.019.2420.803—2.193——0.757—————
UDNet2026.019.2030.845—3.059——0.935—————
Phaseformer2026.018.9870.843—2.684——0.811—————
DCP2026.018.6780.829—1.974——0.678—————
UDCP2026.017.4730.659—1.9——0.773—————
CCMSNet2026.05———1.5212——0.5806————7.6045
FUnIE2026.05———1.4298——0.5873————7.0463
RADN2026.05———1.5052——0.6171————7.6997
Semi-UIR2026.05———1.4442——0.5727————7.2839
Shallow2026.05———1.2973——0.5933————7.1349
U-shape2026.05———1.3072——0.5578————7.3868
UWCNN2026.05———1.2225——0.5229————6.7783