A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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.
doi:10.1109/cvpr42600.2020.00549
dblp:conf/cvpr/MaximovEL20
fatcat:qy5os5ouozbpvfdlk3dgrkntie