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:
Nov. 04, 2025

Filed:

Aug. 31, 2023
Applicant:

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

Inventors:

Kyle Goodrich, Venice, CA (US);

Samuel Edward Hare, Los Angeles, CA (US);

Maxim Maximov Lazarov, Culver City, CA (US);

Tony Mathew, Los Angeles, CA (US);

Andrew James Mcphee, Culver City, CA (US);

Daniel Moreno, New York, NY (US);

Dhritiman Sagar, Marina del Rey, CA (US);

Wentao Shang, Los Angeles, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/00 (2011.01); G06F 3/04842 (2022.01); G06F 3/04883 (2022.01); G06N 20/00 (2019.01); G06T 7/194 (2017.01); G06T 7/50 (2017.01); G06T 7/507 (2017.01); G06T 15/50 (2011.01); G06T 19/20 (2011.01); G06V 40/16 (2022.01); H04L 67/131 (2022.01);
U.S. Cl.
CPC ...
G06T 19/006 (2013.01); G06F 3/04842 (2013.01); G06F 3/04883 (2013.01); G06N 20/00 (2019.01); G06T 7/194 (2017.01); G06T 7/50 (2017.01); G06T 7/507 (2017.01); G06T 15/50 (2013.01); G06T 19/20 (2013.01); G06V 40/171 (2022.01); H04L 67/131 (2022.05); G06T 2207/10028 (2013.01); G06T 2207/30201 (2013.01); G06T 2219/2012 (2013.01); G06T 2219/2024 (2013.01);
Abstract

The subject technology applies, to image data and depth data, a 3D effect including at least one beautification operation based on an augmented reality content generator, the 3D effect including a beautification operation, the beautification operation comprising modifying image data, the image data including a region corresponding to a representation of a face, the beautification operation comprising using a machine learning model for at least one of smoothing blemishes or preserving facial skin texture. The subject technology generates a depth map using at least the depth data. The subject technology generates a segmentation mask based at least on the image data. The subject technology performs background inpainting and blurring of the image data using at least the segmentation mask to generate background inpainted image data. The subject technology generates a 3D message based at least in part on the applied 3D effect including the at least one beautification operation.


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