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AI-generated image detection on OpenFake (test)

0.924AUC (Chroma)DTAD
0.412320.545160.6780.81084Mar 23, 2026Apr 4, 2026Apr 16, 2026Apr 28, 2026May 10, 2026May 22, 2026Jun 3, 2026

Evaluation results

MethodLinks
DTAD2026.030.9240.2280.3860.4850.9340.7720.9090.9420.9480.90.70.3960.8680.9180.8520.9320.8450.790.9280.3150.8720.9080.7070.6230.6840.7640.7580.8710.9560.8950.80.9080.7540.8530.779——
LightningTrainable Params=0M, Zero-shot=true, Training dataset=FF++ (C23)2026.060.887—0.706———0.830.855———————————0.6930.864———0.8——0.9050.8440.886————0.820.8160.748
OURS2026.030.8790.850.8580.8080.7970.8570.8140.790.8360.860.8570.70.8470.8660.9010.8970.930.9180.8970.7660.8770.9150.960.9580.9520.8850.9070.9470.9040.9240.9730.9510.9230.9310.881——
WAR PAD2026.030.7280.420.5250.5670.6270.3810.6080.6270.7240.660.5430.2980.750.690.7130.6850.5170.5720.7440.5040.7230.6870.6680.7640.7920.7450.7230.8420.7330.8380.6890.6830.8030.8020.658——
XceptionTrainable Params=83M, Zero-shot=true, Training dataset=FF++ (C23)2026.060.638—0.565———0.5290.563———————————0.5360.599———0.561——0.590.6340.514————0.570.5350.573
RIGID2026.030.6330.4730.4690.4340.5060.3710.5480.5580.5770.440.5120.5030.5460.5520.4860.5910.4420.4670.620.4350.6360.6450.3220.3940.5240.7210.5230.7240.490.6950.5160.4920.4340.6890.536——
MINDER2026.030.6330.4710.4680.4340.5050.3710.5470.5570.5750.4380.510.5010.5440.5540.4840.5890.440.4650.6230.4330.6350.6440.3190.3910.5370.720.5210.7280.4880.6940.5150.4920.4330.6880.536——
GenDTrainable Params=0.03M, Zero-shot=true, Training dataset=FF++ (C23)2026.060.599—0.665———0.4720.475———————————0.5320.629———0.799——0.8350.5920.711————0.6180.5670.543
UCFTrainable Params=47M, Zero-shot=true, Training dataset=FF++ (C23)2026.060.596—0.418———0.580.609———————————0.4540.475———0.421——0.4980.5950.523————0.5140.4740.523
F3NetTrainable Params=22M, Zero-shot=true, Training dataset=FF++ (C23)2026.060.585—0.463———0.5670.585———————————0.4460.555———0.348——0.4920.5890.473————0.5130.4740.575
ProDetTrainable Params=96M, Zero-shot=true, Training dataset=FF++ (C23)2026.060.585—0.462———0.5840.609———————————0.540.66———0.542——0.5340.5380.566————0.5640.5210.625
ForAdaTrainable Params=5.7M, Zero-shot=true, Training dataset=FF++ (C23)2026.060.584—0.393———0.4680.448———————————0.4240.505———0.717——0.7740.5180.631————0.5350.4950.461
ZERO FAKE2026.030.5710.6840.560.6050.5020.5430.7190.6940.6330.550.6750.6940.4380.5410.4850.3910.490.5010.6830.4470.6270.6450.5040.730.2970.4680.7080.5220.4710.6810.6730.6330.4310.7810.58——
CORETrainable Params=22M, Zero-shot=true, Training dataset=FF++ (C23)2026.060.55—0.455———0.6150.621———————————0.4050.578———0.312——0.450.5230.514————0.5060.5270.517
EffortTrainable Params=0.19M, Zero-shot=true, Training dataset=FF++ (C23)2026.060.534—0.431———0.4680.44———————————0.5180.587———0.718——0.7390.5210.635————0.5570.510.58
MIBD2026.030.5030.7880.5720.4450.460.5010.4880.4810.4850.8320.5480.4740.8550.5390.8090.4780.4620.4190.8440.7920.740.4860.7480.8210.8470.6630.5940.8650.5680.6460.5790.5210.6070.610.593——
AERO BLADE2026.030.4520.3430.3110.5310.5590.560.430.4890.5910.340.3580.4460.4220.5210.390.3890.3130.410.5910.260.2360.4680.3960.3080.2670.190.2570.3750.5110.410.2020.3670.3260.2720.389——
HFI2026.030.4320.4870.3540.5270.4980.4760.4150.5220.5950.3760.40.5160.4590.4870.3820.4890.3790.3840.570.3270.4490.3260.3280.2820.3360.2590.260.4180.3750.3550.2890.380.3010.2980.401——