AI-generated image detection on Chameleon (test)
95.64AccuracyPE-ViT-G + TAP
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| PE-ViT-G + TAPBackbone=PE-Core ViT-G, Tunable attention pooling (TAP)=true, Training set=SD v1.4 training set from GenImage [64]2026.04 | 95.64 | — | 91.47 | 98.78 | |
| PE-ViT-GBackbone=PE-Core ViT-G, Tunable attention pooling (TAP)=false, Training set=SD v1.4 training set from GenImage [64]2026.04 | 92.11 | — | 99.19 | 86.78 | |
| SimLBRTraining Dataset=SD v1.42026.02 | 85.57 | — | 92.96 | 80.06 | |
| SimLBRTraining Dataset=ProGAN2026.02 | 84.33 | — | 75.8 | 90.74 | |
| PE-ViT-L + TAPBackbone=PE-Core ViT-L, Tunable attention pooling (TAP)=true, Training set=SD v1.4 training set from GenImage [64]2026.04 | 83.31 | — | 61.36 | 99.82 | |
| DRCTTraining Class/Num=SD2.1/473k2025.12 | 79.8 | 85.2 | — | — | |
| B-FreeTraining Class/Num=SD2.1/360k2025.12 | 78.2 | 85.2 | — | — | |
| CommForenTraining Class/Num=4.7Kgens/5M2025.12 | 77.5 | 83.5 | — | — | |
| PE-ViT-LBackbone=PE-Core ViT-L, Tunable attention pooling (TAP)=false, Training set=SD v1.4 training set from GenImage [64]2026.04 | 72.81 | — | 98.43 | 53.55 | |
| Ours/DINOv2Training Dataset=All GenImage2025.04 | 72.07 | — | 49.68 | 88.99 | |
| GAPLTraining Class/Num=4.7Kgens/550k2025.12 | 71 | 75.6 | — | — | |
| HydraPromptTraining Data=SD v1.42026.05 | 69.7 | — | 37.9 | 93.9 | |
| MCANTraining Setting=SDV1.42026.01 | 69.61 | — | — | — | |
| Ours/CLIPTraining Dataset=All GenImage2025.04 | 69.33 | — | 38.93 | 92.18 | |
| Co-SPYTraining Class/Num=SD1.4/320k2025.12 | 68.8 | 68.8 | — | — | |
| Ours/DINOv2Training Dataset=SD v1.42025.04 | 66.63 | — | 64.65 | 68.12 | |
| OMATTraining set=SD v1.4 training set from GenImage [64]2026.04 | 66.05 | — | 33.93 | 90.17 | |
| AIDETraining Class/Num=8gens/1.3M2025.12 | 65.8 | 69.7 | — | — | |
| AIDETraining Dataset=All GenImage2025.04 | 65.77 | — | 26.8 | 95.06 | |
| Ours/CLIPTraining Dataset=SD v1.42025.04 | 63.94 | — | 17.27 | 99.01 | |
| AIDETraining Setting=SDV1.42026.01 | 62.6 | — | — | — | |
| AIDETraining Dataset=SD v1.42026.02 | 62.6 | — | 20.33 | 94.38 | |
| AIDETraining Dataset=SD v1.42025.04 | 62.6 | — | 20.33 | 94.38 | |
| AIDETraining set=SD v1.4 training set from GenImage [64]2026.04 | 62.6 | — | 20.33 | 94.38 | |
| AIDETraining Data=SD v1.42026.05 | 62.6 | — | 20.3 | 94.4 | |
| HydraPromptTraining Data=ProGAN2026.05 | 61.3 | — | 31.6 | 83.7 | |
| D3Training Class/Num=9gens/2M2025.12 | 61 | 56.5 | — | — | |
| GramNetTraining Data=SD v1.42026.05 | 61 | — | 17.7 | 93.5 | |
| GramNetTraining Dataset=SD v1.42026.02 | 60.95 | — | 17.65 | 93.5 | |
| GramNetTraining set=SD v1.4 training set from GenImage [64]2026.04 | 60.95 | — | 17.65 | 93.5 | |
| CNNSpotTraining Dataset=All GenImage2025.04 | 60.89 | — | 9.86 | 99.25 | |
| MCANTraining Setting=ProGAN2026.01 | 60.81 | — | — | — | |
| UnivFDTraining Dataset=All GenImage2025.04 | 60.42 | — | 85.52 | 41.56 | |
| CNNSpotTraining Setting=SDV1.42026.01 | 60.11 | — | — | — | |
| CNNSpotTraining Dataset=SD v1.42026.02 | 60.11 | — | 8.86 | 98.63 | |
| CNNSpotTraining Dataset=SD v1.42025.04 | 60.11 | — | 8.86 | 98.63 | |
| CNNSpotTraining set=SD v1.4 training set from GenImage [64]2026.04 | 60.11 | — | 8.86 | 98.63 | |
| CNNSpotTraining Data=SD v1.42026.05 | 60.1 | — | 8.9 | 98.6 | |
| DIRETraining Setting=SDV1.42026.01 | 59.71 | — | — | — | |
| DIRETraining Dataset=SD v1.42026.02 | 59.71 | — | 11.86 | 95.67 | |
| DIRETraining Dataset=SD v1.42025.04 | 59.71 | — | 11.86 | 95.67 | |
| DIRETraining set=SD v1.4 training set from GenImage [64]2026.04 | 59.71 | — | 11.86 | 95.67 | |
| DIRETraining Data=SD v1.42026.05 | 59.7 | — | 11.9 | 95.7 | |
| SAFETraining Class/Num=ProGAN/144k2025.12 | 59.2 | 50.6 | — | — | |
| NPRTraining Data=SD v1.42026.05 | 59.1 | — | 2.4 | 100 | |
| GramNetTraining Dataset=ProGAN2026.02 | 58.94 | — | 4.76 | 99.66 | |
| GramNetTraining Data=ProGAN2026.05 | 58.9 | — | 4.8 | 99.7 | |
| AIDETraining Class/Num=ProGAN/720k2025.12 | 58.4 | 50.1 | — | — | |
| AIDETraining Data=ProGAN2026.05 | 58.4 | — | 5 | 98.5 | |
| AIDETraining Setting=ProGAN2026.01 | 58.37 | — | — | — | |
| AIDETraining Dataset=ProGAN2026.02 | 58.37 | — | 5.04 | 98.46 | |
| DIRETraining Data=ProGAN2026.05 | 58.2 | — | 3.3 | 99.5 | |
| DIRETraining Setting=ProGAN2026.01 | 58.19 | — | — | — | |
| DIRETraining Dataset=ProGAN2026.02 | 58.19 | — | 3.25 | 99.48 | |
| NPRTraining Setting=SDV1.42026.01 | 58.13 | — | — | — | |
| NPRTraining Dataset=SD v1.42026.02 | 58.13 | — | 2.43 | 100 | |
| NPRTraining Dataset=SD v1.42025.04 | 58.13 | — | 2.43 | 100 | |
| NPRTraining set=SD v1.4 training set from GenImage [64]2026.04 | 58.13 | — | 2.43 | 100 | |
| DIRETraining Dataset=All GenImage2025.04 | 57.83 | — | 2.09 | 99.73 | |
| NPRTraining Dataset=All GenImage2025.04 | 57.81 | — | 1.68 | 100 | |
| NPRTraining Class/Num=ProGAN/144k2025.12 | 57.4 | 47.7 | — | — | |
| NPRTraining Data=ProGAN2026.05 | 57.3 | — | 2.2 | 98.7 | |
| NPRTraining Setting=ProGAN2026.01 | 57.29 | — | — | — | |
| NPRTraining Dataset=ProGAN2026.02 | 57.29 | — | 2.2 | 98.7 | |
| UniFDTraining Setting=ProGAN2026.01 | 57.22 | — | — | — | |
| UnivFDTraining Dataset=ProGAN2026.02 | 57.22 | — | 3.18 | 97.83 | |
| FreDectTraining Dataset=All GenImage2025.04 | 57.22 | — | 0.89 | 99.55 | |
| UniFDTraining Class/Num=ProGAN/720k2025.12 | 57.2 | 46.2 | — | — | |
| UnivFDTraining Data=ProGAN2026.05 | 57.2 | — | 3.2 | 97.8 | |
| LNPTraining Setting=ProGAN2026.01 | 57.11 | — | — | — | |
| LNPTraining Dataset=ProGAN2026.02 | 57.11 | — | 0.09 | 99.97 | |
| LNPTraining Data=ProGAN2026.05 | 57.1 | — | 0.1 | 99.9 | |
| FusingTraining Data=SD v1.42026.05 | 57.1 | — | 0 | 99.9 | |
| FusingTraining Dataset=All GenImage2025.04 | 57.09 | — | 0.02 | 99.98 | |
| FusingTraining Setting=SDV1.42026.01 | 57.07 | — | — | — | |
| FusingTraining Dataset=SD v1.42026.02 | 57.07 | — | 0 | 99.96 | |
| FusingTraining Dataset=SD v1.42025.04 | 57.07 | — | 0 | 99.96 | |
| CNNDetTraining Class/Num=ProGAN/720k2025.12 | 57 | 42.6 | — | — | |
| FusingTraining Data=ProGAN2026.05 | 57 | — | 0 | 99.8 | |
| FusingTraining Setting=ProGAN2026.01 | 56.98 | — | — | — | |
| FusingTraining Dataset=ProGAN2026.02 | 56.98 | — | 0.01 | 99.79 | |
| CNNSpotTraining Setting=ProGAN2026.01 | 56.94 | — | — | — | |
| CNNSpotTraining Dataset=ProGAN2026.02 | 56.94 | — | 0.08 | 99.67 | |
| CNNSpotTraining Data=ProGAN2026.05 | 56.9 | — | 0.1 | 99.7 | |
| FreDectTraining Data=SD v1.42026.05 | 56.9 | — | 1.4 | 98.6 | |
| FreDectTraining Setting=SDV1.42026.01 | 56.86 | — | — | — | |
| FreDectTraining Dataset=SD v1.42026.02 | 56.86 | — | 1.37 | 98.57 | |
| FreDectTraining Dataset=SD v1.42025.04 | 56.86 | — | 1.37 | 98.57 | |
| PatchcraftTraining Setting=SDV1.42026.01 | 56.32 | — | — | — | |
| PatchCraftTraining Dataset=SD v1.42026.02 | 56.32 | — | 3.07 | 96.35 | |
| PatchCraftTraining Dataset=SD v1.42025.04 | 56.32 | — | 3.07 | 96.35 | |
| PatchCraftTraining set=SD v1.4 training set from GenImage [64]2026.04 | 56.32 | — | 3.07 | 96.35 | |
| PatchCraftTraining Data=SD v1.42026.05 | 56.3 | — | 3.1 | 96.4 | |
| PatchCraftTraining Dataset=All GenImage2025.04 | 55.7 | — | 1.39 | 96.52 | |
| LNPTraining Setting=SDV1.42026.01 | 55.63 | — | — | — | |
| LNPTraining Dataset=SD v1.42026.02 | 55.63 | — | 0.57 | 97.01 | |
| LNPTraining set=SD v1.4 training set from GenImage [64]2026.04 | 55.63 | — | 0.57 | 97.01 | |
| FreDectTraining Setting=ProGAN2026.01 | 55.62 | — | — | — | |
| UniFDTraining Setting=SDV1.42026.01 | 55.62 | — | — | — | |
| FreDectTraining Dataset=ProGAN2026.02 | 55.62 | — | 13.72 | 87.12 |