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:
May. 19, 2026

Filed:

Aug. 18, 2023
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Ta-Ying Cheng, Oxford, GB;

Matheus Gadelha, San Jose, CA (US);

Soren Pirk, Palo Alto, CA (US);

Radomir Mech, Mountain View, CA (US);

Thibault Groueix, San Francisco, CA (US);

Assignee:

ADOBE INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 17/20 (2006.01); G06V 10/46 (2022.01); G06V 10/762 (2022.01);
U.S. Cl.
CPC ...
G06T 17/20 (2013.01); G06V 10/462 (2022.01); G06V 10/762 (2022.01);
Abstract

Systems and methods for extracting 3D shapes from unstructured and unannotated datasets are described. Embodiments are configured to obtain a first image and a second image, where the first image depicts an object and the second image includes a corresponding object of a same object category as the object. Embodiments are further configured to generate, using an image encoder, image features for portions of the first image and for portions of the second image; identify a keypoint correspondence between a first keypoint in the first image and a second keypoint in the second image by clustering the image features corresponding to the portions of the first image and the portions of the second image; and generate, using an occupancy network, a 3D model of the object based on the keypoint correspondence.


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