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Benchmarks
Generated Image Detection on Imagenet SD-v1 (test)
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100
Accuracy
FIRE
65.992
74.821
83.65
92.479
Apr 10, 2026
Accuracy
AUC
Updated 6d ago
Evaluation Results
Method
Method
Links
Accuracy
AUC
FIRE
Train set=LSUN-B (ADM)
2026.04
100
100
DIRE
Train set=Imagenet (ADM)
2026.04
100
99.6
Fake-Inversion
Train set=Imagenet (ADM)
2026.04
100
100
FIRE
Train set=Imagenet (ADM)
2026.04
100
100
Fake-Inversion
Train set=LSUN-B (ADM)
2026.04
99.7
97.6
AERO-BLADE
Train set=Imagenet (ADM)
2026.04
99.7
98.3
AERO-BLADE
Train set=LSUN-B (ADM)
2026.04
98.7
97.4
DIRE
Train set=LSUN-B (ADM)
2026.04
98.3
95.2
DAF
Train set=LSUN-B (ADM)
2026.04
94.7
98.9
DAF
Train set=Imagenet (ADM)
2026.04
91.6
99.6
CNNDet
Train set=Imagenet (ADM)
2026.04
87.2
84.7
CNNDet
Train set=LSUN-B (ADM)
2026.04
67.3
53.4
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