A GAN implemented with the Perceptual Simplicity and Spatial Constriction constraints
PS-SC GAN
This repository contains the main code for training a PS-SC GAN (a GAN implemented with the Perceptual Simplicity and Spatial Constriction constraints) introduced in the paper Where and What? Examining Interpretable Disentangled Representations. The code for computing the TPL for model checkpoints from disentanglemen_lib can be found in this repository.
Abstract
Capturing interpretable variations has long been one of the goals in
disentanglement learning. However, unlike the independence assumption,
interpretability has rarely been exploited to encourage disentanglement
in the unsupervised setting. In this paper, we examine the interpretability
of disentangled representations by investigating two questions:
where to be interpreted and what to be interpreted? A latent code is
easily to be interpreted if it would consistently impact a certain subarea
of the resulting generated image. We thus propose to learn