Attribute-preserving Face Dataset Anonymization via Latent Code Optimization

1 code implementation • CVPR 2023 • Simone Barattin, Christos Tzelepis, Ioannis Patras, Nicu Sebe

By optimizing the latent codes directly, we ensure both that the identity is of a desired distance away from the original (with an identity obfuscation loss), whilst preserving the facial attributes (using a novel feature-matching loss in FaRL's deep feature space).

Attribute