SynthFaces: Arc2Face diffusion plus flow matching build balanced synthetic face dataset
Sergey Karpukhin · hf · 2026-11-06
Researchers from FusionBrain Lab, HSE University and MSU present SynthFaces, a large-scale balanced synthetic face dataset addressing the inherent bias and privacy risks of real-world face data.
The pipeline combines Arc2Face diffusion with flow matching on identity embeddings to generate balanced human faces, aiming to improve fairness in human-centric generative model training while reducing privacy concerns.
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