Trained on FF++ only, RealID uses real-face prototypes and an independent dual-decision classifier to reach 91.06 average AUC across five deepfake test sets, 1.74 points above SBI.
Towards open-set identity preserving face synthesis
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Learning Real Facial Concepts for Independent Deepfake Detection
Trained on FF++ only, RealID uses real-face prototypes and an independent dual-decision classifier to reach 91.06 average AUC across five deepfake test sets, 1.74 points above SBI.