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AI-Generated Image Detection on AIGI-Quality-Paradox

97.7APPROBE
63.3872.2981.290.11May 24, 2026

Evaluation results

MethodLinks
PROBETrained on=Reconstruction Training Set, Backbone=DINOv22026.0597.7—
DDATrained on=Reconstruction Training Set2026.0596.7—
BFreeTrained on=Reconstruction Training Set2026.0596.3—
PROBETrained on=GenImage SD 1.4, Backbone=ResNet502026.0594.8—
DINOv2Trained on=Reconstruction Training Set, Backbone=DINOv22026.0591.7—
DRCTTrained on=GenImage SD 1.42026.0581.8—
EffortTrained on=GenImage SD 1.42026.0581.4—
ResNet50Trained on=GenImage SD 1.4, Backbone=ResNet502026.0581—
UnivFDTrained on=GenImage SD 1.42026.0578.7—
CNNSpotTrained on=GenImage SD 1.42026.0574.5—
AIDETrained on=GenImage SD 1.42026.0571.3—
NPRTrained on=GenImage SD 1.42026.0564.7—
AIDETraining Set=GenImage SD 1.42026.05—67.7
BFreeTraining Set=Reconstruction Training Set2026.05—91.9
CNNSpotTraining Set=GenImage SD 1.42026.05—63.3
DDATraining Set=Reconstruction Training Set2026.05—90.1
DINOv2Training Set=Reconstruction Training Set2026.05—87.9
DRCTTraining Set=GenImage SD 1.42026.05—72
EffortTraining Set=GenImage SD 1.42026.05—72.9
NPRTraining Set=GenImage SD 1.42026.05—63.7
PROBEBackbone=ResNet50, Training Set=GenImage SD 1.42026.05—87.7
PROBEBackbone=DINOv2, Training Set=Reconstruction Training Set2026.05—92.9
ResNet50Training Set=GenImage SD 1.42026.05—64.8
UnivFDTraining Set=GenImage SD 1.42026.05—73.4