arXiv Computer Vision
Unmasking Face Embeddings: Reading, Rendering and Naming with Foundation Models
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Benchmarking Face Recognition without Real Faces
Synthetic face datasets have become effective enough to train face recognition models with accuracy rivaling that of models trained on real photographs. This progress sidesteps the ethical and legal burdens of collecting real biometric data, yet evaluation has not kept pace.