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:
Jan. 06, 2026

Filed:

Mar. 30, 2023
Applicant:

Electronic Arts Inc., Redwood City, CA (US);

Inventors:

Yangming Wen, Newark, CA (US);

Harold Henry Chaput, Castro Valley, CA (US);

Han Liu, Millbrae, CA (US);

Assignee:

ELECTRONIC ARTS INC., Redwood City, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G06T 13/80 (2011.01); G06T 15/00 (2011.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06T 17/00 (2013.01); G06T 13/80 (2013.01); G06T 15/00 (2013.01); G06V 10/82 (2022.01);
Abstract

Implementations disclosed herein are directed to using a machine learning model to generate three-dimensional models of objects. In some implementations, a computer implemented method can include the steps of: generating, by a machine-learning model, a three-dimensional model of an object from a three-dimensional model of an initial object and conditional input(s) specifying target properties of the generated object; generating two-dimensional image(s) of the generated object from the three-dimensional model of the generated object; generating a respective image embedding for each of the two-dimensional image(s) of the generated object using an image embedding model; generating a respective conditional embedding for each of the conditional input(s); and updating parameters of the machine-learning model based on a comparison of the respective conditional embedding for each of the conditional input(s) and the respective image embeddings for each of the two-dimensional image(s) of the generated object.


Find Patent Forward Citations

Loading…