Representation Decomposition For Image Manipulation And Beyond
Representation Decomposition For Image Manipulation And Beyond
Representation disentanglement aims at learning interpretable features, so that the output can be recovered or manipulated accordingly. While existing works like infoGAN [1] and ACGAN [2] exist, they choose to derive disjoint attribute code for feature disentanglement, which is not applicable for existing/trained generative models. In this paper, we propose …