The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement

William Peebles, John Peebles, Jun-Yan Zhu +2

Existing disentanglement methods for deep generative models rely on hand-picked priors and complex encoder-based architectures. In this paper, we propose the Hessian Penalty, a sim…