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Generated Image Detection on DiffusionForensics Cross-model (test)

99.9DDPM AccuracyLGrad
60.79670.94881.191.252Jan 25, 2025

Evaluation results

MethodLinks
LGradTraining Dataset=ProGAN2025.0199.910096.210090.499.486.497.597.110066.192.869.598.599.710088.298.5
OursTraining Dataset=ProGAN2025.0199.910010010097.599.99699.899.910098.510099.210099.610098.8100
NPRTraining Dataset=ProGAN2025.0199.410010010097.199.788.497.996.410087.59897.510010010095.899.4
LadedaTraining Dataset=ProGAN2025.0198.499.910010097.199.883.996.994.110093.998.893.799.910010095.199.4
FreqNetTraining Dataset=ProGAN2025.0191.499.810010063.998.167.291.381.898.45997.385.299.898.910080.998.1
AIDETraining Dataset=ProGAN2025.0186.592.592.199.491.598.685.794.188.695.187.894.889.697.887.49588.695.9
F3NetTraining Dataset=ProGAN2025.0184.799.410010073.497.280.996.999.810074.798.972.899.510010085.899
C2P-CLIPTraining Dataset=ProGAN2025.0173.476.295.899.778.999.268.895.366.794.880.794.984.297.297.399.780.794.6
UnivFDTraining Dataset=ProGAN2025.0172.978.877.799.2599388.798.653.387.673.497.186.299.250.787.970.292.5
FatFormerTraining Dataset=ProGAN2025.0167.273.510010061.796.870.893.484.498.269.394.399.310097.310081.294.4
CNN-SpotTraining Dataset=ProGAN2025.0162.776.650713876.753.971.85290.350.282.750.890.350.478.75190.3
PatchforTraining Dataset=ProGAN2025.0162.397.110010090.799.877.593.994.81005091.650.299.999.510078.197.8
GANDetectionTraining Dataset=ProGAN2025.0162.346.451.151.239.865.651.153.150.136.950.26350.67951.648.150.855.4