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:
Aug. 13, 2024

Filed:

May. 27, 2022
Applicant:

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

Inventors:

Konstantin Gudkov, Playa Vista, CA (US);

Andrey Alejandrovich Gomez Zharkov, Santa Monica, CA (US);

Vadim Velicodnii, London, GB;

Aleksei Zhuravlev, London, GB;

Sergey Demyanov, Brooklyn, NY (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/01 (2006.01); G06F 3/04815 (2022.01); G06F 8/34 (2018.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06T 3/00 (2006.01); G06T 3/10 (2024.01); G06T 19/00 (2011.01);
U.S. Cl.
CPC ...
G06T 19/006 (2013.01); G06F 3/011 (2013.01); G06F 3/04815 (2013.01); G06F 8/34 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 3/10 (2024.01);
Abstract

Methods and systems are disclosed for performing automatically creating AR experiences on a messaging platform. The methods and systems perform operations that include: receiving, via a graphical user interface (GUI), input that specifies a plurality of image transformation parameters; accessing a set of sample source images; modifying the set of sample source images based on the plurality of image transformation parameters to generate a set of sample target images; training a machine learning model to generate a given target image from a given source image by establishing a relationship between the set of sample source images and the set of sample target images; and automatically generating an augmented reality experience comprising the trained machine learning model.


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