Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

Neural Information Processing Systems 

Synthetic face recognition (SFR) aims to generate synthetic face datasets that mimic the distribution of real face data, which allows for training face recognition models in a privacy-preserving manner.