The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 16, 2026

Filed:

Jul. 21, 2023
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Xingguang Yan, Burnaby, CA;

Or Perel, Tel Aviv, IL;

James Robert Lucas, Royston, GB;

Towaki Takikawa, Toronto, CA;

Karsten Julian Kreis, Vancouver, CA;

Maria Shugrina, Toronto, CA;

Sanja Fidler, Toronto, CA;

Or Litany, Sunnyvale, CA (US);

Assignee:

Nvidia Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 17/20 (2006.01); G06T 3/4007 (2024.01);
U.S. Cl.
CPC ...
G06T 17/20 (2013.01); G06T 3/4007 (2013.01); G06T 2210/36 (2013.01);
Abstract

Approaches presented herein provide systems and methods for generating three-dimensional (3D) objects using compressed data as an input. One or more models may learn from a hash table of latent features to map different features to a reconstruction domain, using a hash function as part of a learned process. A 3D shape for an object may be encoded to a multi-layered grid and represented by a series of embeddings, where given point within the grid may be interpolated based on the embeddings for a given layer of the multi-layered grid. A decoder may then be trained to use the embeddings to generate an output object.


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