CVPR2020
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks
Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
摘要
Figure 1: Given a face image, our network anonymizes the face based on the desired identity. In the figure, it can be seen the variability of the generated faces, controlled from a given label. In each triplet, the first image is the real image, while the other two images are different anonymized versions of the real image.