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ResearchFormerly WizWand

Full-Reference Image Quality Assessment on TID 2013 (test)

0.968PLCCAHIQ
0.737120.797060.8570.91694Aug 6, 2023Jan 17, 2024Jun 30, 2024Dec 12, 2024May 26, 2025Nov 7, 2025Apr 21, 2026
Updated 6mo ago

Evaluation results

MethodLinks
AHIQTransformer-based=true2023.100.9680.962
YOTOTraining Mode=FR task only, Transformer-based=true2023.100.9650.963
YOTOTraining Mode=Jointly trained (FR & NR), Transformer-based=true2023.100.9640.963
DeepQA2023.100.9470.939
WaDIQaM2023.100.9460.94
PieAPP2023.100.9460.945
DOG2023.100.9340.926
DualCNN2023.100.9240.926
TOPIQTrain dataset=KADID-10k, Backbone=ResNet-502023.080.9160.915
CONTRIQUE-FR2026.040.9150.909
MSDS2026.040.9110.894
AHIQTrain dataset=KADID-10k2023.080.8990.901
DMM2026.040.8790.876
DISTS2026.040.8730.853
DeepSSIM2026.040.860.838
PieAPPTrain dataset=KADID-10k2023.080.8590.876
FSIM2026.040.8590.802
GMSD2026.040.8590.804
DISTSTrain dataset=KADID-10k2023.080.8550.83
PieAPP2026.040.850.877
TOPIQTrain dataset=PIPAL, Backbone=ResNet-502023.080.8460.816
WaDIQaM-FRTrain dataset=KADID-10k2023.080.8340.831
AHIQTrain dataset=PIPAL2023.080.8040.763
DISTSTrain dataset=PIPAL2023.080.8030.765
LPIPS-VGGTrain dataset=PIPAL2023.080.790.76
WaDIQaM-FRTrain dataset=PIPAL2023.080.7860.739
MS-SSIM2026.040.7860.742
LPIPS2026.040.7560.673
LPIPS-VGGTrain dataset=KADID-10k2023.080.7490.67
SSIM2026.040.7460.721