Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates

Alejandro Ascarate, Leo Lebrat, Rodrigo Santa Cruz +2

Variational autoencoders (VAE) encode data into lower-dimensional latent vectors before decoding those vectors back to data. Once trained, decoding a random latent vector from the…