2023
Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability
ICCV 2023poster
Face de-identification involves concealing the true identity of a face while retaining other facial characteristics. Current target-generic methods typically disentangle identity features in the latent space, using adversarial training to balance privacy and utility. However, this pattern often lead…