1 code implementation • 6 Feb 2022 • Andrea Asperti, Laura Bugo, Daniele Filippini
In this article we introduce the notion of Split Variational Autoencoder (SVAE), whose output $\hat{x}$ is obtained as a weighted sum $\sigma \odot \hat{x_1} + (1-\sigma) \odot \hat{x_2}$ of two generated images $\hat{x_1},\hat{x_2}$, and $\sigma$ is a {\em learned} compositional map.
