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. 18, 2025

Filed:

Mar. 31, 2023
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Larry Davis, Brooklyn, NY (US);

Nicolas Heron, New York, NY (US);

Amit Kumar Agrawal, Santa Clara, CA (US);

Nina Mitra Khosrowsalafi, Austin, TX (US);

Osama Makansi, Nufringen, DE;

Oleksandr Vorobiov, Albstadt, DE;

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G06T 7/12 (2017.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06T 11/00 (2013.01); G06T 7/12 (2017.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Systems and methods are described for generating images of synthesized bodies wearing a garment. For instance, a source image of a human or mannequin wearing a garment may be submitted to a synthesized human generation system. In response to receiving the source image, the synthesized human generation system may use a classifier to classify the image as depicting one or more body types or orientations. The synthesized human generation system may also apply segmentation to the source image to segment the garment pixels. The synthesized human generation system may then select one or more body generation machine learning models based on the classification of the source image. The synthesized human generation system may utilize the selected machine learning models to generate one or more output images of synthesized bodies that appear to be wearing the garment, using the segmented garment as input.


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