VAE/WGAN-Based Image Representation Learning For Pose-Preserving Seamless Identity Replacement In Facial Images

no code implementations • 2 Mar 2020 • Hiroki Kawai, Jia-Wei Chen, Prakash Ishwar, Janusz Konrad

We present a novel variational generative adversarial network (VGAN) based on Wasserstein loss to learn a latent representation from a face image that is invariant to identity but preserves head-pose information.

Generative Adversarial Network Representation Learning