synthetic images of exceptional visual fidelity. In this work, we propose the first GAN-based
method for automatic face aging. Contrary to previous works employing GANs for altering of
facial attributes, we make a particular emphasize on preserving the original person's identity
in the aged version of his/her face. To this end, we introduce a novel approach for “Identity-
Preserving” optimization of GAN's latent vectors. The objective evaluation of the resulting …