Diffusion-based Facial Forgery Detection on DiFF (ACC Metrics)
77.55FaceSwap AccuracyHAMMER++
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| HAMMER++mode=Zero-shot, training=ROM-trained2026.03 | 77.55 | 56.33 | 96.88 | — | |
| REFORMmode=Zero-shot, training=ROM-trained2026.03 | 75.88 | 59.1 | 98.15 | — | |
| HAMMERmode=Zero-shot, training=ROM-trained2026.03 | 75.4 | 56.91 | 95.33 | — | |
| FKA-Owlmode=Zero-shot, training=ROM-trained2026.03 | 74.12 | 58.45 | 97.55 | — | |
| HAMMER++Training Dataset=MDSM2025.05 | 71.98 | 52.79 | 91.23 | 72 | |
| HAMMERTraining Dataset=MDSM2025.05 | 71.21 | 52.35 | 91.09 | 71.55 | |
| ViLTmode=Zero-shot, training=ROM-trained2026.03 | 69.5 | 53.22 | 85.11 | — | |
| FKA-OwlTraining Dataset=MDSM2025.05 | 69.25 | 53.79 | 99.13 | 74.06 | |
| AMDTraining Dataset=MDSM2025.05 | 68.62 | 54.8 | 98.2 | 73.87 | |
| ViLTTraining Dataset=MDSM2025.05 | 64.23 | 51.78 | 79.24 | 65.08 |