Implementation for Adversarially Constrained Autoencoder Interpolation (ACAI)

Introduction Autoencoders provide a powerful framework for learning compressed representations by encoding all of the information needed to reconstruct a data point in a latent code. In some cases, autoencoders can “interpolate”: By decoding the convex combination of the latent codes for two data points, the autoencoder can produce an output that semantically mixes characteristics …

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