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Synthetic Image Detection on ForenSynths (test)

97.2Mean AccuracyDNA
45.92859.23972.5585.861Aug 13, 2025Sep 28, 2025Nov 14, 2025Dec 31, 2025Feb 16, 2026Apr 4, 2026May 21, 2026

Evaluation results

MethodLinks
DNA2026.0197.299.910096.299.997.999.995.299.299.999.999.710099.699.989.297.299.5———————————————
GAPLTraining Class/Num=4.7Kgens/550k2025.1297.2————————————————99.5———————————————
SAFETraining Class/Num=ProGAN/144k2025.1296.2————————————————98.6———————————————
D3Training Class/Num=9gens/2M2025.1293————————————————97.9———————————————
STAL2026.0592.6——————————————————96.996.8—9795.395.996.797.795.981.797.870.884.496.4
NPR2026.0192.599.810096.399.897.310087.594.59599.599.710086.688.877.486.296.1———————————————
NPR2025.1292.599.810096.399.897.310087.594.59599.599.710086.688.877.486.296.1———————————————
CommForenTraining Class/Num=4.7Kgens/5M2025.1292.3————————————————98.2———————————————
C2P-CLIP2026.0592——————————————————93.393.2—63.299.393.179.498.496.899.698.892.694.794.8
MoLD2026.0191.499.910091.199.88699.898.410098.199.999.110099.710058.796.599.5———————————————
MoLD2025.1291.499.910091.199.88699.898.410098.199.999.110099.710058.796.599.5———————————————
NPRTraining Class/Num=ProGAN/144k2025.1290.8————————————————91.8———————————————
FatFormer2026.0590——————————————————72.172.1—70.898.498.198.999.399.599.499.39381.988.3
UniFDTraining Class/Num=ProGAN/720k2025.1289.4————————————————96.7———————————————
UnivFD2026.0189.199.71008998.783.998.490.599.187.999.891.410089.910080.290.298.3———————————————
UnivFD2025.1289.199.71008998.783.998.490.599.187.999.891.410089.910080.290.298.3———————————————
AIDETraining Class/Num=ProGAN/720k2025.1288.4————————————————96———————————————
LGrad2026.0186.199.910094.899.99699.982.990.785.39499.610072.479.35867.991.5———————————————
LGrad2025.1286.199.910094.899.99699.982.990.785.39499.610072.479.35867.991.5———————————————
AIDETraining Class/Num=8gens/1.3M2025.1285.3————————————————93.8———————————————
SARETraining Dataset=GenImage (SDv1.4)2025.0884.2493.12—85.97—83.6—92.11—96.09—94.84—90.45—77.72———47.7179.0877.6492.55——————————
DDA*2026.0583.5——————————————————70.570.5—94.381.983.686.291.490.875.290.974.283.991.8
DRCTvariant=CLIP-L2026.0182.598.499.982.89574.595.487.996.792.29883.295.898.599.942.478.694.9———————————————
DRCTBackbone=CLIP-L2025.1282.598.499.982.89574.595.487.996.792.29883.295.898.599.942.478.694.9———————————————
DDA2026.0581.4——————————————————8789.7—94.792.887.890.29172.572.792.776.558.652.1
B-FreeTraining Class/Num=SD2.1/360k2025.1281.1————————————————94.2———————————————
PatchFor2026.0180.797.810082.693.183.698.564.769.574.587.210010057.255.48593.287.1———————————————
PatchFor2025.1280.797.810082.693.183.698.564.769.574.587.210010057.255.48593.287.1———————————————
AIDETraining Dataset=GenImage (SDv1.4)2025.0879.5584.24—87.71—90.58—85.67—94.55—91.06—72.56—59.72———47.5793.8270.0377.09——————————
DRCTTraining Dataset=GenImage (SDv1.4)2025.0879.2289.08—77.05—73.24—92.74—98.31—95.93—88.23—70.01———29.3568.5679.3988.75——————————
UnivFD2026.0577.7——————————————————55.768.1—58.299.48069.487.596.995.198.869.462.269.2
CNNDetTraining Class/Num=ProGAN/720k2025.1275.3————————————————91.8———————————————
DIRE2026.0174.698.399.972.594.366.397.759.179.266.278.292.810054.972.28797.189.8———————————————
DRCTvariant=Conv-B2026.0174.698.699.976.296.260.896.28675.796.99861.494.182.699.533.975.391.9———————————————
DIRE2025.1274.698.399.972.594.366.397.759.179.266.278.292.810054.972.28797.189.8———————————————
DRCTBackbone=Conv-B2025.1274.698.699.976.296.260.896.28675.796.99861.494.182.699.533.975.391.9———————————————
DRCT2026.0573.9——————————————————78.482.6—84.971.162.763.881.4915393.851.572.273.9
UnivFDTraining Dataset=GenImage (SDv1.4)2025.0871.9180.55—67.47—62.97—84.46—93.56—89.32—80.03—67.96———29.5157.2274.7375.08——————————
SARE2025.0871.47——————————————————46.6560.9861.3984.784.5176.7476.0483.1590.9559.6581.2851.56——
Conv-BTraining Dataset=GenImage (SDv1.4)2025.0871.4675.08—76.94—72.15—77.46—52.96—38.18—62.23—87.58———44.2185.5586.5498.62——————————
DRCT2025.0868.51——————————————————41.6951.8366.6779.4574.5968.8366.0483.193.1162.2378.8755.76——
AIDEOfficial Pre-trained=true2025.0867.31——————————————————49.6167.6569.7257.5369.2771.0472.5377.274.3780.2464.3554.24——
CNNDetection2026.0167.191.499.463.891.476.497.552.973.372.788.663.890.863.992.251.762.386.9———————————————
CNNDetection2025.1267.191.499.463.891.476.497.552.973.372.788.663.890.863.992.251.762.386.9———————————————
NPRTraining Dataset=GenImage (SDv1.4)2025.0867.0473.12—87.4—75.13—64.77—78.4—99.49—51.8—55.54———41.5849.855.1572.32——————————
Co-SPYTraining Class/Num=SD1.4/320k2025.1265.6————————————————75.9———————————————
DIRETraining Dataset=GenImage (SDv1.4)2025.0861.1655.59—52.28—52.44—45.27—47.96—51.99—45.38—84.3———43.6762.6693.8898.45——————————
UnivFD2025.0861.06——————————————————38.0854.6464.1765.5367.9655.8152.0468.5569.2379.8956.2360.56——
AIDE2026.0559.4——————————————————12.215.9—55.38966.55970.193.672.160.653.244.280.6
NPROfficial Pre-trained=true2025.0857.72——————————————————48.7948.7951.6758.6858.1165.5161.6558.4873.7763.7653.5549.92——
DE-FAKETraining Dataset=GenImage (SDv1.4)2025.0857.2455.57—49.71—44.33—70.09—74.58—71.15—43.1—51.11———51.7646.2151.9377.38——————————
Conv-B2025.0855.78——————————————————49.9452.562.566.4454.6650.9250.0152.550.0449.4750.1980.19——
AlignedForensics2026.0553.9——————————————————50.449.7—67.650.752.751.651.249.553.850.871.751.450
DE-FAKE2025.0852.78——————————————————49.4647.3153.8965.351.249.3247.4752.8851.8963.8149.0251.77——
DIRE2025.0852.42——————————————————49.4249.5854.1773.2950.0650.045049.8849.9650.0549.9752.56——
GramNetTraining Dataset=GenImage (SDv1.4)2025.0852.3749—44.69—46.9—50.76—55.9—48.46—34.39—63.88———49.939.2375.1370.14——————————
GramNet2025.0851.64——————————————————47.5947.565.5657.9949.248.6248.5249.7349.1749.0748.758.02——
DRCTTraining Class/Num=SD2.1/473k2025.1250————————————————49.7———————————————
SAFE2026.0549.7——————————————————5050—50.950505052.251.950.15050.141.149.8
NPR2026.0547.9——————————————————0.45.3—48.458.757.954.653.176.667.442.235.763.658.8