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Synthetic Image Detection on UniversalFakeDetect GANs (test)

100ProGAN Accuracy

RINE

Updated 7d ago

Evaluation Results

Method	Links
RINE 2026.05		100	100	99.3	100	99.6	99.9	88.9	99.4	99.5	100	99.8	100	80.6	97.9	95.4	99.6
Effort 2026.05		100	100	95.1	100	99.6	99.9	99.9	97.7	99.6	100	100	100	87.6	98.9	97.4	99.5
HydraPrompt 2026.05		99.9	100	96.9	100	98.8	99.8	98.2	99.9	98.4	100	100	100	93.7	97.5	98	99.6
LGrad 2026.05		99.8	100	94.8	99.7	82.5	92.4	85.9	94.7	99.7	99.9	73.7	83.2	60.6	67.8	86.2	92.2
FatFormer 2026.05		99.8	100	99.9	100	98.9	99.9	87.7	97.4	100	100	99.9	100	89.4	97.3	96.5	99.2
UnivFD 2026.05		99.7	100	78.8	97.4	91.2	99	91.9	99.8	96.3	99.9	91.9	100	80	89.4	88.1	97.8
C2P-CLIP 2026.05		99.7	100	99.4	100	95.3	99.9	90.7	99.9	95.3	100	96.6	100	89.9	97.3	95.3	99.6
F3Net 2026.05		97.9	100	84.5	99.5	65.5	73.4	81.2	89.7	100	100	57	59.2	59.9	83	78.5	88.1
FreqNet 2026.05		97.9	99.6	97.6	99.9	90.5	96.1	95.8	99.5	90.2	99.7	93.4	98.6	97.4	99.9	94.7	99
Frank 2026.05		85.7	81.3	73.1	68.5	76.9	70.8	86.5	80.8	85	77	67.3	65.3	50.1	55.3	75	71.2
Durall 2026.05		79	73.9	63.6	58.8	69.5	62.9	65.4	60.8	99.4	99.4	67	63	50.5	50.2	70.2	66.4
CNNSpot 2026.05		64.6	92.7	52.8	82.8	51.6	70.5	58.6	81.5	51.2	74.3	53.6	86.6	50.6	51.5	57.3	79.6