Diffusion-based facial forgery detection on DiffFace
55.3DiffSwap AccuracyREFORM
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| REFORMmode=Zero-shot, training=ROM-trained2026.03 | 55.3 | 63.95 | 98.12 | — | |
| FKA-Owlmode=Zero-shot, training=ROM-trained2026.03 | 54.88 | 60.12 | 97.44 | — | |
| HAMMER++mode=Zero-shot, training=ROM-trained2026.03 | 52.77 | 58.3 | 95.12 | — | |
| HAMMERmode=Zero-shot, training=ROM-trained2026.03 | 52.14 | 59.22 | 93.55 | — | |
| ViLTmode=Zero-shot, training=ROM-trained2026.03 | 51.82 | 55.45 | 80.33 | — | |
| AMDTraining Dataset=MDSM2025.05 | 51.41 | 59.8 | 98.38 | 69.86 | |
| HAMMER++Training Dataset=MDSM2025.05 | 51.23 | 58.15 | 91.65 | 67.01 | |
| FKA-OwlTraining Dataset=MDSM2025.05 | 51.02 | 59.77 | 96.23 | 69.01 | |
| HAMMERTraining Dataset=MDSM2025.05 | 50.73 | 55.31 | 89.07 | 65.04 | |
| ViLTTraining Dataset=MDSM2025.05 | 46.15 | 51.28 | 76.18 | 57.87 |