Mihir Sahasrabudhe

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

In this work we introduce the Deforming Autoencoder, a generative model for images that disentangles shape from appearance in a latent representation space that is learned in a fully unsupervised manner. As in the deformable template paradigm, shape is represented as a diffeomorphism between a canon…