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:
Mar. 10, 2026

Filed:

Dec. 04, 2023
Applicant:

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

Inventors:

Haoyu Wu, Huntington Station, NY (US);

Sunil Sharadchandra Hadap, Dublin, CA (US);

Meher Gitika Karumuri, Santa Clara, CA (US);

Seungbae Bang, Santa Clara, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/20 (2011.01); G06T 5/50 (2006.01); G06T 5/70 (2024.01); G06T 15/04 (2011.01); G06T 15/20 (2011.01); G06T 17/20 (2006.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06T 5/50 (2013.01); G06T 5/70 (2024.01); G06T 15/04 (2013.01); G06T 15/205 (2013.01); G06T 17/20 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2210/56 (2013.01); G06T 2219/2016 (2013.01);
Abstract

The system generates a three-dimensional model with layered depth images based on an input two-dimensional image. For training, layered depth images are derived from existing three-dimensional models. The system trains a machine learning model to predict multiple layered depth images from an input image of an object. The system compares the generated, multiple layered depth images to the derived layered depth images for the object to update the machine learning model during training. At inference time, the system receives an input image for an object. The system applies the machine learning model to the input image to output predicted layered depth images. The system generates a three-dimensional model from the predicted layered depth images.


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