Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints

Yuxuan Wu, Ziyu Wang, Bhiksha Raj +1

We contribute an unsupervised method that effectively learns disentangled content and style representations from sequences of observations. Unlike most disentanglement algorithms t…