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:
Dec. 19, 2023

Filed:

Oct. 20, 2021
Applicant:

Snap Inc., Santa Monica, CA (US);

Inventors:

Gleb Dmukhin, Kyiv, UA;

Egor Nemchinov, London, GB;

Yurii Volkov, Kyiv, UA;

Assignee:

SNAP INC., Santa Monica, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/20 (2011.01); G06N 3/02 (2006.01); G06T 17/20 (2006.01); H04L 51/10 (2022.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06N 3/02 (2013.01); G06T 17/205 (2013.01); H04L 51/10 (2013.01);
Abstract

A messaging system processes three-dimensional (3D) models to generate ground truths for training machine learning models for applications of the messaging system. A method of generating ground truths for machine learning includes generating a plurality of first rendered images from a first 3D base model where each first rendered image includes the 3D base model modified by first augmentations of a plurality of augmentations. The method further includes determining for a second 3D base model incompatible augmentations of the first plurality of augmentations, where the incompatible augmentations indicate changes to fixed features of the second 3D base model, and generating a plurality of second rendered images from a second 3D base model, each second rendered image comprising the second 3D base model modified by second augmentations, the second augmentations corresponding to the first augmentations of a corresponding first rendered image, where the second augmentations comprises augmentations of the first augmentations that are not incompatible augmentations.


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Dmukhin, Gleb. (2023). Generating ground truths for machine learning (U.S. Patent No. 11847756). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11847756

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