List your company

AIGC Image Detection on AIGCDetect-Benchmark

100ProGANCNNS
50.8663.617576.37589.1325Nov 11, 2025Dec 11, 2025Jan 11, 2026Feb 11, 2026Mar 14, 2026Apr 14, 2026May 15, 2026

Evaluation results

MethodLinks
CNNS2026.0110090.1771.1787.6294.681.4286.9191.6560.3958.0751.3950.4550.5750.5356.4651.0353.0369.73——
Fusing2026.0110085.277.487977783.366.84957.252.252.85151.455.151.755.667.63——
Pat.C.2026.0110092.7795.870.1799.9771.5889.5585.882.1783.7990.1296.695.3895.388.9191.0798.4389.85——
CNNSpot2026.0510090.1771.17—94.681.4286.9191.6560.3958.0751.3950.4550.5750.53—51.03—70.7887.6256.46
Fusing2026.0510085.277.4—977783.366.84957.252.252.85151.4—51.7—68.388755.1
PatchCraft2026.0510092.7795.8—99.9771.5889.5585.882.1783.7990.1296.695.3895.3—91.07—89.3170.1788.91
AIGI-Holmes2026.0510098.3594.51—10095.1998.8895.7188.4391.5381.5685.3291.2891.38—89.46—93.1697.0390.94
GenShield2026.0510097.3996.37—99.198.697.7394.1194.8998.9791.1587.0992.0389.95—92.63—94.9397.691.3
CNNSpotTraining Data=ProGAN2025.1110090.1771.17—94.681.4286.9191.6560.3958.0751.3950.4550.5750.53—51.0353.0369.7387.6256.46
FusingTraining Data=ProGAN2025.1110085.277.4—977783.366.84957.252.252.85151.4—51.755.667.638755.1
PatchCraftTraining Data=ProGAN2025.1110092.7795.8—99.9771.5889.5585.882.1783.7990.1296.695.3895.3—91.0798.4389.8570.1788.91
EffortTraining Data=ProGAN2025.1110095.899.58—99.9899.8492.5594.670.6864.6150.0353.0555.2355.21—56.7750.1377.3199.6676.55
CNNSpotTraining Dataset=ProGAN2025.1110099.8385.99—99.0490.8299.4899.8575.6772.2866.2453.5161.261.56—57.3472.6279.9594.9468.83
FusingTraining Dataset=ProGAN2025.1110099.590.7—99.888.399.693.394.177.57068.1265.465.7—64.679.4183.9595.575.6
LGradTraining Dataset=ProGAN2025.1110098.3192.93—10095.4397.8957.9972.9580.4271.8682.5562.3762.85—62.4880.0381.895.0177.47
DIRE-DTraining Dataset=ProGAN2025.1110097.5699.27—99.3799.9897.996.7386.8183.817463.0486.1485.84—91.0799.190.4199.896.53
PatchCraftTraining Dataset=ProGAN2025.1110098.9699.42—10081.3397.7495.2693.494.0496.4899.5699.0699.06—97.5499.8996.0785.2696.26
NPRTraining Dataset=ProGAN2025.1110099.8187.87—99.985.5799.965.3874.6185.7385.4176.7284.0284.67—80.5110087.6498.5581.2
AIDETraining Dataset=ProGAN2025.1110099.9994.44—99.9997.6999.9699.2798.7798.9488.1399.4198.2698.2—98.6299.3198.2599.8999.27
EffortTraining Dataset=ProGAN2025.1110099.499.97—10010098.8599.5992.6487.853.1951.6567.266.98—75.1560.4585.0410092.84
GramNet2026.0199.9987.0567.3386.0795.0569.3587.2886.858.6154.550.0249.2551.752.1652.8650.7664.5368.43——
AIDE2026.0599.9999.6483.95—99.9173.259894.293.4395.0977.296.69392.85—93.55—92.7798.4895.16
AIDETraining Data=ProGAN2025.1199.9999.6483.95—99.9173.259894.293.4395.0977.296.69392.85—93.5597.0593.0398.4895.16
FreDectTraining Dataset=ProGAN2025.1199.9988.9893.62—99.4982.8482.5455.8561.7752.9246.0938.237.8337.76—39.5849.4566.8784.7885.1
OmniAID-MirageTraining Dataset=Mirage-Train2025.1199.9799.7195.19—10099.3599.5596.7189.2199.8399.8199.9499.9999.99—99.9899.9798.699.4897.55
LNP2026.0199.9592.6488.4379.0710079.1793.825083.9183.569.5592.4589.3388.8185.0386.3987.7585.28——
OursFFT2026.0199.9488.7887.5891.2299.378.8389.5487.285.5890.8988.6896.3591.8291.3985.2188.7697.1890.49——
LNPTraining Dataset=ProGAN2025.1199.8998.684.32—10078.8599.5991.4594.288.8676.8696.1494.3193.92—92.3887.7591.2992.8387.35
LGard2026.0199.8391.0885.6286.9499.2778.4685.3255.767.1566.1165.3565.4563.0263.6772.9959.5571.375.11——
LGrad2026.0599.8391.0885.62—99.2778.4685.3255.767.1566.1165.3565.4563.0263.67—59.55—75.3486.9472.99
LGradTraining Data=ProGAN2025.1199.8391.0885.62—99.2778.4685.3255.767.1566.1165.3565.4563.0263.67—59.5571.375.1186.9472.99
UniFD2026.0199.8184.9395.0898.3395.75—74.9686.966.8762.4656.1350.7563.6663.4985.3170.9350.7376.8——
UnivFD2026.0599.8184.9395.08—95.7599.4774.9686.966.8762.4656.1350.7563.6663.49—70.93—78.4398.3385.31
UnivFDTraining Data=ProGAN2025.1199.8184.9395.08—95.7599.4774.9686.966.8762.4656.1350.7563.6663.49—70.9350.7376.898.3385.31
NPR2026.0599.7997.784.35—99.3582.598.3865.869.6978.3677.8564.978.6378.89—76.11—82.9196.178.13
NPRTraining Data=ProGAN2025.1199.7997.784.35—99.3582.598.3865.869.6978.3677.8564.978.6378.89—76.1198.483.8296.178.13
LNP2026.0599.6791.7577.75—99.9275.3994.6470.8584.7380.5265.5588.7585.5585.67—82.06—83.8484.174.46
LNPTraining Data=ProGAN2025.1199.6791.7577.75—99.9275.3994.6470.8584.7380.5265.5588.7585.5585.67—82.0687.7585.2884.174.46
FreDetc2026.0199.3678.0281.9778.7794.6280.5766.1950.7563.4254.1345.8734.738.7939.2177.840.351.2363.28——
FreDect2026.0599.3678.0281.97—94.6280.5766.1950.7563.4254.1345.8734.738.7939.21—40.3—64.0378.7777.8
FreDectTraining Data=ProGAN2025.1199.3678.0281.97—94.6280.5766.1950.7563.4254.1345.8734.738.7939.21—40.351.2363.2878.7777.8
UnivFDTraining Dataset=ProGAN2025.1199.0891.7475.25—99.3472.1588.2960.1385.8478.3561.8674.4849.8749.52—55.3867.5975.3280.5654.57
D-G2026.0195.1983.0370.1274.1995.4767.7975.3158.0575.7871.7558.0166.4849.7449.8353.6854.4655.3567.9——
DIRE-G2026.0595.1983.0370.12—95.4767.7975.3158.0575.7871.7558.0166.4849.7449.83—54.46—68.6874.1953.68
DIRE-GTraining Data=ProGAN2025.1195.1983.0370.12—95.4767.7975.3158.0575.7871.7558.0166.4849.7449.83—54.4655.3567.974.1953.68
OmniAID-MirageTraining Data=Mirage-Train2025.1180.990.7782.8—98.983.5886.8188.0589.598.3498.0198.298.6998.36—98.698.8592.8890.2898.38
DIRE-GTraining Dataset=ProGAN2025.1158.7956.6846.91—40.6447.3458.0359.0299.7999.5497.3299.7198.6198.83—98.3753.9772.3850.0398.98
D-D2026.0152.7551.3149.749.5846.7251.2351.7253.398.2592.4289.4592.4591.2491.6391.990.991.2872.7——
DIRE-D2026.0552.7551.3149.7—46.7251.2351.7253.398.2592.4289.4592.4591.2491.63—90.9—71.5349.5891.9
DIRE-DTraining Data=ProGAN2025.1152.7551.3149.7—46.7251.2351.7253.398.2592.4289.4592.4591.2491.63—90.991.2872.749.5891.9