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ResearchFormerly WizWand

Full-Reference Image Quality Assessment on LIVE (test)

0.989PLCCAHIQ
0.891240.916620.9420.96738Aug 6, 2023Jan 17, 2024Jun 30, 2024Dec 12, 2024May 26, 2025Nov 7, 2025Apr 21, 2026
Updated 6mo ago

Evaluation results

MethodLinks
AHIQTransformer-based=true2023.100.9890.984
YOTOTraining Mode=FR task only, Transformer-based=true2023.100.9890.988
YOTOTraining Mode=Jointly trained (FR & NR), Transformer-based=true2023.100.9880.988
PieAPP2023.100.9860.977
DeepQA2023.100.9820.981
WaDIQaM2023.100.980.97
DOG2023.100.9660.963
CONTRIQUE-FR2026.040.9660.966
MSDS2026.040.9660.967
FSIM2026.040.960.963
GMSD2026.040.960.96
DeepSSIM2026.040.9590.964
TOPIQTrain dataset=KADID-10k, Backbone=ResNet-502023.080.9570.974
DISTSTrain dataset=KADID-10k2023.080.9540.954
DISTS2026.040.9540.953
AHIQTrain dataset=KADID-10k2023.080.9520.97
WaDIQaM-FRTrain dataset=KADID-10k2023.080.940.947
LPIPS2026.040.9360.932
LPIPS-VGGTrain dataset=KADID-10k2023.080.9340.932
MS-SSIM2026.040.9340.941
SSIM2026.040.9210.923
TOPIQTrain dataset=PIPAL, Backbone=ResNet-502023.080.9130.939
DMM2026.040.9130.947
AHIQTrain dataset=PIPAL2023.080.9110.92
PieAPPTrain dataset=KADID-10k2023.080.9080.919
DISTSTrain dataset=PIPAL2023.080.9060.915
PieAPP2026.040.9050.915
LPIPS-VGGTrain dataset=PIPAL2023.080.9010.893
WaDIQaM-FRTrain dataset=PIPAL2023.080.8950.899