Face forgery detection on GenFace DDPM (test)
100AccuracyMFCLIP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MFCLIPTraining Set=CollDiff2026.05 | 100 | 100 | — | |
| MFVLRTraining Set=CollDiff2026.05 | 100 | 100 | 98.56 | |
| MFCLIPTraining Set=DiffFace2026.05 | 99.99 | 99.99 | — | |
| MFVLRTraining Set=DiffFace2026.05 | 99.99 | 99.99 | 65.6 | |
| XceptionTraining Set=DiffFace2026.05 | 99.98 | 99.98 | — | |
| MSCCNetTraining Set=CollDiff2026.05 | 99.9 | 99.99 | 97.96 | |
| M2TRTraining Set=CollDiff2026.05 | 99.84 | 99.99 | 97.23 | |
| CViTTraining Set=CollDiff2026.05 | 99.74 | 99.97 | — | |
| MFCLIPTraining Set=Diffae2026.05 | 98.99 | 99.99 | — | |
| DiffForensicsTraining Set=CollDiff2026.05 | 96.78 | 99.06 | 97.82 | |
| SIDATraining Set=CollDiff2026.05 | 95.8 | 98.53 | 96.76 | |
| HiFi-NetTraining Set=CollDiff2026.05 | 95.32 | 99.45 | 94.59 | |
| C2P-CLIPTraining Set=CollDiff2026.05 | 94.86 | 97.05 | — | |
| MFVLRTraining Set=Diffae2026.05 | 94.65 | 99.76 | 73.84 | |
| VLFFDTraining Set=CollDiff2026.05 | 94.25 | 96.01 | — | |
| FreqNetTraining Set=CollDiff2026.05 | 93.48 | 85.42 | — | |
| DD-VQATraining Set=CollDiff2026.05 | 93.2 | 97.44 | — | |
| DIRETraining Set=CollDiff2026.05 | 91.52 | 81.05 | — | |
| SIDATraining Set=DiffFace2026.05 | 91.48 | 98.56 | 59.77 | |
| DiffForensicsTraining Set=DiffFace2026.05 | 90.87 | 97.53 | 60.38 | |
| DD-VQATraining Set=DiffFace2026.05 | 90.22 | 99.98 | — | |
| ViTTraining Set=DiffFace2026.05 | 87 | 97.01 | — | |
| FatFormerTraining Set=DiffFace2026.05 | 79.54 | 94.2 | — | |
| C2P-CLIPTraining Set=DiffFace2026.05 | 77.86 | 95.89 | — | |
| VLFFDTraining Set=DiffFace2026.05 | 77.84 | 94.76 | — | |
| CLIPTraining Set=DiffFace2026.05 | 76.34 | 91.74 | — | |
| DiffForensicsTraining Set=Diffae2026.05 | 70.68 | 99.04 | 71.28 | |
| SIDATraining Set=Diffae2026.05 | 69.86 | 98.67 | 70.41 | |
| C2P-CLIPTraining Set=Diffae2026.05 | 67.55 | 97.86 | — | |
| DD-VQATraining Set=Diffae2026.05 | 64.45 | 95.06 | — | |
| VLFFDTraining Set=Diffae2026.05 | 62.79 | 93.43 | — | |
| CViTTraining Set=Diffae2026.05 | 57.78 | 98.04 | — | |
| DIRETraining Set=Diffae2026.05 | 57.45 | 94.21 | — | |
| MSCCNetTraining Set=Diffae2026.05 | 55.8 | 92.04 | 69.17 | |
| XceptionTraining Set=CollDiff2026.05 | 55.69 | 96.31 | — | |
| ViTTraining Set=CollDiff2026.05 | 55.06 | 61.83 | — | |
| HiFi-NetTraining Set=Diffae2026.05 | 54.94 | 89 | 68.97 | |
| MSCCNetTraining Set=DiffFace2026.05 | 54.88 | 94.07 | 52.08 | |
| XceptionTraining Set=Diffae2026.05 | 53.96 | 94.01 | — | |
| HiFi-NetTraining Set=DiffFace2026.05 | 53.87 | 92.42 | 51.67 | |
| FatFormerTraining Set=CollDiff2026.05 | 53.81 | 55.52 | — | |
| FatFormerTraining Set=Diffae2026.05 | 53.56 | 54.85 | — | |
| FreqNetTraining Set=Diffae2026.05 | 53.48 | 94.58 | — | |
| CLIPTraining Set=CollDiff2026.05 | 51.58 | 53.92 | — | |
| M2TRTraining Set=DiffFace2026.05 | 50.52 | 90.64 | 49.99 | |
| ViTTraining Set=Diffae2026.05 | 50.52 | 50.04 | — | |
| CLIPTraining Set=Diffae2026.05 | 50.52 | 51.58 | — | |
| CViTTraining Set=DiffFace2026.05 | 50.08 | 77.27 | — | |
| DIRETraining Set=DiffFace2026.05 | 50.04 | 75.32 | — | |
| M2TRTraining Set=Diffae2026.05 | 50.01 | 87.78 | 67.92 | |
| FreqNetTraining Set=DiffFace2026.05 | 49.85 | 82.21 | — |