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Full-Reference Image Quality Assessment on DiffIQA (test)

79.4Accuracy (Ref < Test)CKDN
14.81631.58348.3565.117Mar 14, 2025

Evaluation results

MethodLinks
CKDNScenario=Generalized, Training Dataset=Combined, Fine-tuned=true2025.0379.47176.4
TOPIQScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0378.674.277
A-FINEScenario=Generalized, Training Dataset=Combined, Fine-tuned=false2025.0378.582.379.9
AHIQScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0378.473.876.7
DISTSScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0338.289.556.7
LPIPSScenario=Standard, Training Dataset=Combined, Fine-tuned=true2025.0335.491.655.6
AHIQScenario=Standard, Training Dataset=PIPAL, Fine-tuned=false2025.0334.188.154.1
CKDNScenario=Generalized, Training Dataset=PIPAL, Fine-tuned=false2025.0333.382.451.4
LPIPSScenario=Standard, Training Dataset=BAPPS, Fine-tuned=false2025.0323.794.750
TOPIQScenario=Standard, Training Dataset=KADID, Fine-tuned=false2025.0322.195.149.1
DISTSScenario=Standard, Training Dataset=KADID, Fine-tuned=false2025.0321.494.848.6
FSIMScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0320.293.147.2
SSIMScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0320.19347.1
MS-SSIMScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0320.19347.1
VIFScenario=Generalized, Training Dataset=N.A., Fine-tuned=false2025.032092.846.9
VSIScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0319.793.146.9
SFSNScenario=Generalized, Training Dataset=N.A., Fine-tuned=false2025.0319.589.645.4
PSNRScenario=Standard, Training Dataset=N.A., Fine-tuned=false2025.0318.292.145.6
PCQIScenario=Generalized, Training Dataset=N.A., Fine-tuned=false2025.0317.390.344.3