DiFF
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Forgery Detection | DiFF T2I (test) | Accuracy99.8 | 30 | |
| Forgery Detection | DiFF I2I (test) | Accuracy99.7 | 30 | |
| Face Forgery Detection | DiFF Face Editing representative subset (test) | Accuracy99.95 | 29 | |
| Forgery Detection | DiFF Cross-domain Average (test) | Cross-domain Avg Acc94.78 | 24 | |
| Face Forgery Detection | DiFF Cross Avg | Accuracy93.63 | 21 | |
| Forgery Detection | DiFF FE (test) | Accuracy89.75 | 16 | |
| Diffusion-based facial forgery detection | DiFF | FaceSwap Accuracy77.55 | 10 | |
| Face Forgery Identification | DiFF dataset | In-domain Score99.87 | 8 | |
| Face Forgery Detection | DiFF Text-to-Image generation representative subset (test) | Accuracy0.999 | 8 | |
| Face Forgery Detection | DiFF Image-to-Image translation representative subset (test) | Accuracy99.75 | 8 | |
| Face Forgery Detection | DiFF Text-to-Image (test) | Accuracy99.9 | 7 | |
| Face Forgery Detection | DiFF Image-to-Image (test) | Accuracy99.75 | 7 |
Showing 12 of 12 rows