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AI-generated image detection on GenImage

99.54Midjourney Detection RateConv-B
61.538471.404281.2791.1358Apr 2, 2025Jun 14, 2025Aug 26, 2025Nov 7, 2025Jan 19, 2026Apr 2, 2026Jun 14, 2026

Evaluation results

MethodLinks
Conv-BTraining Subset=SDv1.42025.0899.5410099.9490.196.7210093.8286.6195.84—————————————————————————
MPFT (CLIP-ViT)training_subset=SDV1.42026.0199.399.899.691.598.399.698.49998.2—————————————————————————
STAL2026.0598.299.599.397.39899.499.497.998.6—————————————————————————
NPRTraining Subset=SDv1.42025.0897.6799.199.1493.0498.598.3993.6298.6797.27—————————————————————————
OmniDFAZero-shot=true2025.0997.5897.4797.7585.596.7197.7896.7897.3395.86—————————————————————————
UnivFDTraining Subset=SDv1.42025.0897.5499.5799.5173.0989.4698.9987.5379.1990.61—————————————————————————
AlignedForensics2026.0597.599.799.652.457.699.67550.679—————————————————————————
DE-FAKETraining Subset=SDv1.42025.0897.1399.8199.870.9589.2698.5278.4857.686.44—————————————————————————
DRCTTraining Subset=SDv1.42025.0896.9199.6499.5288.4794.6199.4296.4490.395.66—————————————————————————
SARETraining Subset=SDv1.42025.0896.8399.9499.9394.879899.8398.3197.5198.15—————————————————————————
DDA*2026.0596.897.897.79797.597.897.99797.4—————————————————————————
Deep-VRM2026.0696.1699.6599.4289.8299.0899.4497.2998.597.42—————————————————————————
VINA (140k+DDA)Type=V+I2026.0596.1199.8999.8576.2394.6599.8394.9896.3894.74—————————————————————————
DDAType=I2026.059698.5798.5388.0386.1398.6171.8374.1188.98—————————————————————————
CoDARef=Ours2026.0596——85.295.997.896.896.395.9—————————————99.1———99——96.899.299.699.998.2
AIDETraining Subset=SDv1.42025.0895.9499.9999.9892.1298.6699.9796.5492.0496.91—————————————————————————
DDA2026.0595.698.798.689.589.698.776.586.591.7—————————————————————————
SAFETraining Set=SDv1.4, Ref Venue=KDD20252025.0495.399.499.382.196.398.296.397.8—95.6————————————————————————
SAFERef=KDD 2025 [55], Evaluation protocol=Reproduced2026.0595.2——82.296.298.196.297.795.5—————————————99.1———99——96.799.399.899.499.8
DCCT†Venue=N/A, Training Protocol=Trained exclusively on photographic images (Section B), Detection Paradigm=One-class Variant2026.0195.1684.1183.9981.6593.1986.8987.3794.4888.36—————————————————————————
Ours/CLIPBackbone=CLIP, Training Set=SDv1.42025.0494.898.598.394.796.198.698.598—97.2————————————————————————
DRCTvariant=Conv-B2026.0694.4399.3799.1966.4273.3199.2576.8559.4183.53—————————————————————————
UniFDtraining_subset=SDV1.42026.0193.996.496.271.985.494.381.690.588.8—————————————————————————
UnivFDVenue=CVPR20232025.1293.996.496.271.985.494.381.690.588.8—————————————————————————
UnivFDTraining Set=SDv1.4, Ref Venue=CVPR20232025.0493.996.496.271.985.494.381.690.5—88.8————————————————————————
VINA (140k+DDA, JPEG)Type=V+I2026.0593.8399.8699.8376.7998.4799.8698.0897.5295.53—————————————————————————
FatFormertraining_subset=SDV1.42026.0192.710099.975.98899.998.855.888.9—————————————————————————
FatFormerVenue=CVPR20242025.1292.710099.975.98899.998.855.888.9—————————————————————————
FatFormerTraining Set=SDv1.4, Ref Venue=CVPR20242025.0492.710099.975.98899.998.855.8—88.9————————————————————————
FatFormerTraining Mode=Training-based2026.0592.710099.975.98899.998.855.888.9—————————————————————————
SimLBRTraining Data=SD v1.42026.0291.67—98.196.9892.3897.4493.58894.54—3.7411.91——————————————————————
GramNetTraining Subset=SDv1.42025.0891.5499.5699.4969.8783.5298.178.439.3682.48—————————————————————————
DRCTVenue=ICML’24, Training Protocol=SDv1.4, Detection Paradigm=Binary Classifier2026.0191.595.0194.4179.4289.1894.6790.0381.6789.49—————————————————————————
DRCTVenue=ICML20242025.1291.59594.479.489.294.79081.789.5—————————————————————————
Random-mappingReference=Ours2025.1291.589.592.388.291.490.593.390.190.9—————————————————————————
DRCTTraining Set=SDv1.4, Ref Venue=ICML20242025.0491.59594.479.489.194.69081.6—89.4————————————————————————
DRCTTraining Mode=Training-based2026.0591.59594.479.489.194.69081.689.4—————————————————————————
UnivFDVenue=CVPR’23, Training Protocol=SDv1.4, Detection Paradigm=Binary Classifier2026.0191.4696.4196.1458.0773.494.5367.8357.7279.45—————————————————————————
Ours/DINOv2Backbone=DINOv2, Training Set=SDv1.42025.0490.498.297.791.896.39897.796.2—95.9————————————————————————
OMAT2026.0690.3697.5297.4683.8297.4197.6295.5397.3494.63—————————————————————————
PatchCraftZero-shot=true2025.0990.1295.3895.382.1783.7991.0788.9195.890.32—————————————————————————
PatchCraftRef=arXiv 2023 [53], Evaluation protocol=Reproduced2026.0589.7——81.683.590.988.291.586.3—————————————96.4———96.2——93.393.897.495.997.8
FreqNettraining_subset=SDV1.42026.0189.698.898.666.886.597.375.881.486.8—————————————————————————
FreqNetVenue=AAAI20242025.1289.698.898.666.886.597.375.881.486.8—————————————————————————
GenDetTraining Data=SD v1.42026.0289.6—96.15878.492.866.57581.56—14.392.19——————————————————————
FreqNetTraining Set=SDv1.4, Ref Venue=AAAI20242025.0489.698.898.666.886.597.375.881.4—86.8————————————————————————
GenDetTraining Mode=Training-based2026.0589.696.196.15878.492.866.57581.6—————————————————————————
LIDAShot=10-shot2026.0389.489.785.186.190.787.490.288.188.3—————————————————————————
F-ConVTraining Mode=Training-based2026.0589.398.898.574.989.395.686.787.690.1—————————————————————————
B-FreeVenue=CVPR20252025.128993.593.592.783.394.190.894.691.4—————————————————————————
CLIP-ViT (Base Model)training_subset=SDV1.42026.0188.610099.96884.599.678.767.185.8—————————————————————————
C2P-CLIPtraining_subset=SDV1.42026.0188.290.997.996.49998.896.598.795.8—————————————————————————
C2P-CLIPVenue=AAAI20252025.1288.290.997.996.49998.896.598.795.8—————————————————————————
Fixed-mappingReference=Ours2025.1288.291.992.190.789.29192.288.990.5—————————————————————————
C2P-CLIPBackbone=CLIP, Training Set=SDv1.4, Ref Venue=AAAI20252025.0488.290.997.996.49998.896.598.7—95.8————————————————————————
VIB-NetVenue=CVPR20252025.1288.199.699.273.974.398.389.491.289.3—————————————————————————
CO-SPY (ProGAN)Type=I2026.0586.9885.485.5878.7991.2680.2884.8693.5785.84—————————————————————————
DRCTvariant=UniFD2026.0685.8292.3391.8775.1887.4492.2389.1287.3887.67—————————————————————————
FGTSEvaluation protocol=Linear probe, Backbone=DINOv3-ViT-7B2025.1185.798.192.990.79293.693.594.492.6—————————————————————————
LIDAShot=1-shot2026.0385.485.684.586.589.187.288.186.886.5—————————————————————————
LIDAShot=5-shot2026.0384.883.785.885.788.889.488.887.286.8—————————————————————————
LGradVenue=CVPR’23, Training Protocol=SDv1.4, Detection Paradigm=Binary Classifier2026.0184.499.2199.0959.2383.8698.1957.2361.6380.4—————————————————————————
BreakingTraining Set=SDv1.4, Ref Venue=NIPS20242025.0483.998.99399.197.785.492.790.5—92.7————————————————————————
Conv-BVenue=CVPR’22, Training Protocol=SDv1.4, Detection Paradigm=Binary Classifier2026.0183.5599.9999.9251.7556.2799.9258.415074.98—————————————————————————
MDMFTraining Mode=Training-based2026.0583.599.499.279.492.497.689.786.691—————————————————————————
EffortVenue=ICML20252025.1282.499.899.878.793.397.491.777.691.1—————————————————————————
EffortTraining Set=SDv1.4, Ref Venue=ICML20252025.0482.499.899.878.793.397.491.777.6—91.1————————————————————————
DRCT2026.0582.488.388.276.986.187.985.48784.7—————————————————————————
AIGI-HolmesRef=ICCV 2025 [16], Evaluation protocol=API-based2026.0581.6——91.588.489.590.994.593.2—————————————94.6———87——9693959698
NPRtraining_subset=SDV1.42026.018198.297.976.989.896.984.184.288.6—————————————————————————
NPRVenue=CVPR20242025.128198.297.976.989.896.984.184.288.6—————————————————————————
NPRTraining Set=SDv1.4, Ref Venue=CVPR20242025.048198.297.976.989.896.984.184.2—88.6————————————————————————
NPRTraining Mode=Training-based2026.058198.297.976.989.896.984.184.288.6—————————————————————————
NPRVenue=CVPR’24, Training Protocol=SDv1.4, Detection Paradigm=Binary Classifier2026.0180.9499.799.5160.277798.4154.5363.0379.2—————————————————————————
FSDShot=10-shot2026.0380.988.888.879.297.188.876.282.284.1—————————————————————————
WaveRepType=V2026.0580.5782.7582.7675.4778.3382.1778.282.6380.36—————————————————————————
DE-FAKEVenue=CCS’23, Training Protocol=SDv1.4, Detection Paradigm=Binary Classifier2026.0179.8898.6598.6271.5778.0598.4278.3174.3784.73—————————————————————————
AIDE2025.1179.499.799.878.591.898.780.366.986.9—————————————————————————
AIDEVenue=ICLR’25, Training Protocol=SDv1.4, Detection Paradigm=Binary Classifier2026.0179.3899.7499.7678.5491.8298.6580.2666.8986.88—————————————————————————
AIDETraining Data=SD v1.42026.0279.38—99.7678.5491.8298.6580.2666.8986.88—12.332.99——————————————————————
AIDE2026.0679.3899.7499.7678.5491.8298.6580.2666.8986.88—————————————————————————
PatchCraft2025.117989.589.377.378.489.383.772.482.3—————————————————————————
PatchCraftTraining Data=SD v1.42026.0279—89.377.378.489.383.772.482.3—6.564.29——————————————————————
DIRETraining Subset=SDv1.42025.0878.6510099.9471.4590.4299.9962.4961.1283.01—————————————————————————
NPRZero-shot=true2025.0977.8578.6378.8969.6978.3676.6178.1384.3577.81—————————————————————————
NPRRef=CVPR 2024 [54], Evaluation protocol=Reproduced2026.0577.8——69.778.476.178.180.177.2—————————————83———85.4——74.685.780.58188.2
NPRType=I2026.0577.7378.2378.8374.2278.8772.477.8481.2877.43—————————————————————————
UnivFD2026.0677.2997.0196.6750.9478.4791.5265.7255.9176.69—————————————————————————
AIDERef=ICLR 2025 [15], Evaluation protocol=API-based2026.0577.2——93.495.193.696.68492.8—————————————95.4———83——9798989994
AIDEZero-shot=true2025.0977.29392.8593.4395.0993.5595.1683.9590.53—————————————————————————
EffortType=I2026.0576.1787.7787.6170.8880.8286.8182.6275.4381.01—————————————————————————
LaRE2training_subset=SDV1.42026.017410099.961.788.510097.268.786.3—————————————————————————
LGradRef=CVPR 2023 [52], Evaluation protocol=Reproduced2026.0573.7——51.849.873.152.140.561.8—————————————62———77.5——5150.575.451.530.2
UnivFD2025.1173.284.28455.276.975.656.980.373.3—————————————————————————
UnivFDTraining Data=SD v1.42026.0273.2—8455.276.975.656.980.373.29—11.322.05——————————————————————
OjhaTraining Mode=Training-based2026.0573.284.28455.276.975.656.980.373.3—————————————————————————
FGTSEvaluation protocol=Training free, Backbone=DINOv3-ViT-7B2025.1172.397.589.775.986.795.297.690.788.2—————————————————————————
CO-SPYType=I2026.0569.8793.0392.958.1581.0691.0371.9664.2277.78—————————————————————————
FreqNetRef=AAAI 2024 [11], Evaluation protocol=Reproduced2026.0569.7——83.581.257.881.490.574.1—————————————82.6———78.5——9288.5679095
GramNet2026.066394.1994.2248.6946.1993.7949.244.7166.75—————————————————————————