VariFace synthetic face datasets, generated with CLIP-based labels, Vendi-score diversity guidance, and divergence-score conditioning, achieve state-of-the-art face verification accuracy and, when scaled to 6M images, exceed the performance of real CASIA-WebFace training data.
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VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition
VariFace synthetic face datasets, generated with CLIP-based labels, Vendi-score diversity guidance, and divergence-score conditioning, achieve state-of-the-art face verification accuracy and, when scaled to 6M images, exceed the performance of real CASIA-WebFace training data.