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Fake Image Detection on Cross-Generator Generalization Trained on ProGAN (test)

100Pro-GAN Detection RateFusing
99.84499.884599.92599.9655Dec 15, 2025

Evaluation results

MethodLinks
FusingTraining Source=ProGAN2025.1210095.590.7699.4899.8288.3271.1277.3365.365.6274.8577.4469.9164.5375.4281.03
UnivfdTraining Source=ProGAN2025.1210099.2198.3197.9899.3599.882.0482.1885.4882.384.3484.0469.190.1394.9689.85
NPRTraining Source=ProGAN2025.1210098.587.899.899.985.582.471.68484.674.685.785.480.581.286.77
VIB-NetTraining Source=ProGAN2025.1210099.899.2998.7999.7299.9992.6491.6287.2486.9887.8888.5375.6890.9296.5193.04
CausalCLIPTraining Source=ProGAN2025.1210099.2799.3199.799.8999.7290.7893.1489.9187.5988.9292.4182.7293.5297.1294.27
CNNSpotTraining Source=ProGAN2025.1299.9996.487.596.9494.2498.2864.4255.8952.8653.2565.1468.156.651.1569.4974.02
FreDectTraining Source=ProGAN2025.1299.9984.7793.6288.9799.4882.8570.7749.538.538.4163.7254.7347.2540.4486.0169.27
LgradTraining Source=ProGAN2025.1299.994.0190.7599.899.9879.2971.7145.0970.971.7271.8375.9671.4266.5170.2378.61
CLIPpingTraining Source=ProGAN2025.1299.8594.0391.2795.2499.0589.5273.8956.6258.2857.8577.2577.9352.4360.658077.59