Exploiting video sequences for unsupervised disentangling in generative adversarial networks

Facundo Tuesca, Lucas C. Uzal

In this work we present an adversarial training algorithm that exploits correlations in video to learn --without supervision-- an image generator model with a disentangled latent s…