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AI-Generated Image Detection on DRCT-2M

99.99LDM Detection RateCLIP/RN50
89.496492.220794.94597.6693Nov 11, 2025

Evaluation results

MethodLinks
CLIP/RN50Training Dataset=SD v1.42025.1199.9999.9999.9694.338.9490.6380.3447.7498.9625.999.9776.0778.148.112.681.967.72
Conv-BTraining Dataset=SD v1.42025.1199.9710099.9795.6644.8278.0576.2735.3999.2639.5699.880.163.5437.796.911.6366.17
Conv-BTrained on=SD v1.42025.1199.9710099.9795.8464.448280.8260.7599.2762.3399.883.473.2861.6551.7950.4179.11
DRCTTraining Dataset=SD v1.42025.1199.9199.999.996.1980.8183.2591.1857.3399.6673.0999.994.7676.9199.995.1967.4388.46
DRCTTrained on=SD v1.42025.1199.9199.999.996.3283.8785.6391.8870.0499.6678.7699.995.0181.2199.995.475.3990.79
CNNSpotTraining Dataset=SD v1.42025.1199.8799.9199.997.4949.1384.4883.9461.9798.2338.0897.9283.5979.3135.985.671.3169.8
CNNSpotTrained on=SD v1.42025.1199.8799.9199.997.5566.2586.5586.1572.4298.2661.7297.9685.8982.8460.9351.4150.2881.12
F3NetTraining Dataset=SD v1.42025.1199.8599.7899.7984.2421.285.5753.6943.0897.3218.3897.9461.9578.0847.291.91.4361.97
F3NetTrained on=SD v1.42025.1199.8599.7899.7988.6655.8587.3768.2963.6697.3954.9897.9872.3981.9965.4250.3950.2777.13
GramNetTraining Dataset=SD v1.42025.1199.499.0198.8395.140.9976.2659.9256.1892.5925.5488.9467.9379.236.091.421.6961.82
GramNetTrained on=SD v1.42025.1199.499.0198.8495.362.6380.6871.1969.3293.0557.0289.9775.5582.6851.2350.0150.0876.62
CLIP/RN50Trained on=SD v1.42025.119999.9999.9694.6162.0891.4383.5764.498.9757.4399.7480.6982.0365.8350.6750.4780.05
UnivFDTrained on=SD v1.42025.1198.396.2296.3393.8391.0193.9186.3885.9290.4488.9990.4181.0689.0651.9651.0350.4683.46
UnivFDTraining Dataset=SD v1.42025.1198.2996.1196.2293.4890.2193.5784.3983.7889.5387.7589.4976.8887.839.015.633.4774.1
DIRETrained on=SD v1.42025.1198.1999.9499.9668.1653.8471.9358.8754.3599.7859.7399.6564.259.1351.9950.0449.9771.23
DIRETraining Dataset=SD v1.42025.1198.1699.9499.9653.3314.3661.0130.2116.199.7832.6599.6544.2930.957.760.28049.28
De-fakeTrained on=SD v1.42025.1192.199.5399.5189.6564.0269.249293.9399.1370.8958.9862.3466.6650.1250.165075.52
De-fakeTraining Dataset=SD v1.42025.1191.4599.5399.5188.544.155.7991.3493.5699.1359.1330.8539.9250.241.151.310.6859.14
OmniAID-MirageTrained on=Mirage-Train2025.1190.6298.4598.4396.692.0297.3382.3471.697.8698.6194.1972.5184.298.8898.8298.1591.91
OmniAID-MirageTraining Dataset=Mirage-Train2025.1189.998.4698.4496.5691.5397.3279.1261.5397.8698.6293.9763.2181.7298.8998.8398.1690.26