CPC G06T 9/001 (2013.01) [G06F 17/18 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 3/40 (2013.01); G06T 9/002 (2013.01)] | 20 Claims |
1. A method implemented by one or more data processing apparatus for decompressing a compressed representation of a set of data, the method comprising:
obtaining the compressed representation of the data, wherein the compressed representation of the data comprises respective entropy encoded representations of: (i) a latent representation of the data, and (ii) a latent representation of an entropy model used to entropy encode the latent representation of the data;
entropy decoding the latent representation of the entropy model;
entropy decoding the latent representation of the data, comprising:
processing the latent representation of the entropy model using a hyper-decoder neural network to generate a reconstruction of the entropy model, wherein the reconstruction of the entropy model defines one or more code symbol probability distributions; and
entropy decoding the latent representation of the data using the code symbol probability distributions defined by the reconstruction of the entropy model; and
processing the latent representation of the data using a decoder neural network to generate a reconstruction of the data.
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