Synthetic Data for Face Recognition: Bridging the Gap Between Real and Synthetic Datasets
The core message of this article is to present the Synthetic Data for Face Recognition (SDFR) competition, which was organized to accelerate research in synthetic data generation for privacy-friendly face recognition models and to bridge the gap between real and synthetic face datasets.