Patent ID: 11900525
Assignee: GOOGLE LLC
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A system for machine-learned compression of multidimensionally-distributed attributes, comprising:
one or more processors; and
one or more non-transitory, computer-readable media storing instructions that, when executed, cause the one or more processors to perform operations comprising:
obtaining a reference dataset comprising attributes indexed by a domain of multidimensional coordinates, wherein the domain is subdivided into a plurality of blocks respectively associated with a plurality of attribute subsets;
inputting, to a local nonlinear operator of a decoder portion of an attribute compression pipeline, a latent representation associated with at least one block of the plurality of blocks, wherein the latent representation is recovered from an encoder portion of the attribute compression pipeline;
outputting, using the local nonlinear operator and based on the latent representation, an attribute representation of one or more attributes of the attribute subset; and
updating the latent representation based on a comparison of the attribute representation and the reference dataset.