| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Backdoor Attack | FaceForensics++ | BA98.94 | 35 | |
| Face Forgery Detection | FaceForensics++ (test) | AUC (DF)100 | 34 | |
| Deepfake Detection | FaceForensics++ c23 (test) | AUC99.8 | 26 | |
| Deepfake Detection | FaceForensics++ (FF) (test) | Average AUC (FF)0.999 | 22 | |
| Face Forgery Detection | FaceForensics++ | AUC99.71 | 20 | |
| Face Swapping | FaceForensics++ (test) | ID Retrieval98.84 | 17 | |
| Video Inpainting | FaceForensics (evaluation) | MSE0.0008 | 15 | |
| Face Swapping | FaceForensics++ | ID Retrieval0.9884 | 14 | |
| Multi-source Forgery Detection | FaceForensics++ Deepfake High-quality c23 | Accuracy88.17 | 12 | |
| Face Forgery Detection | FaceForensics++ (FF++) (test) | F-Accuracy93.17 | 11 | |
| Face Personalization | FaceForensics++ (test) | AdaFace Score0.4537 | 10 | |
| Face Forgery Detection | FaceForensics++ (FF++) c23 light compression | Accuracy96.69 | 9 | |
| Face Forgery Detection | FaceForensics++ raw (c0) | Accuracy99.43 | 8 | |
| Video Generation | FaceForensics 256x256 | FID7.12 | 7 | |
| Face Swapping | FaceForensics++ 5 monocular videos 50 | Identity Score71.7 | 6 | |
| Face Forgery Detection | FaceForensics++ (in-domain) | AUC (DF)100 | 6 | |
| Video Generation | FaceForensics | FVD 1647.41 | 6 | |
| Face Forgery Detection | FaceForensics++ HQ (test) | Video Accuracy98.8 | 6 | |
| Deepfake Detection | FaceForensics++ Deepfakes GID-DF LQ | Accuracy85.33 | 5 | |
| Unconditional Video Generation | FaceForensics 256^2 | FVD (16 frames)39.7 | 5 | |
| Face Forgery Detection | FaceForensics++ DF (test) | AUC0.9551 | 4 |