Flipped-Adversarial AutoEncoders

Jiyi Zhang, Hung Dang, Hwee Kuan Lee +1

We propose a flipped-Adversarial AutoEncoder (FAAE) that simultaneously trains a generative model G that maps an arbitrary latent code distribution to a data distribution and an en…