A Additional HQA Results Table 5: Additional CelebA interpolations of the HQA encoder output z

Neural Information Processing Systems 

Compression is from 98,304 to 576 bits (171x compression). Compression is from 98,304 to 144 bits (683x compression). The far left and right images are originals. B.1 Motivation In this section we outline the probabilistic model that motivates the HQA loss: L = log p (x | z = k) H [ q ( z |x)] + E A desired property of the HQA, motivated in Section 4.4, is the non-deterministic posterior We contrast these two models in Figure 8. This model is a V ariational Autoencoder with a simple Mixture of Gaussians prior.

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