( Esser-et-al-2019)

We propose an additional classifier that estimates the minimal amount of regularization required to enforce disentanglement. Thus both representations to- gether can completely explain an image while being independent of each other. Previous methods based on adversarial approaches fail to enforce this independence, while methods based on variational approaches lead to uninformative representations.