Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning

Figure 6

Varying on CelebA dataset. We show the effect of the learned categorical latent factors on the outputs. This figure shows that a categorical code can capture the gender of the face. We can see that the degree of masculinity of the image changes drastically as latent factor changes.