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:
Jul. 29, 2025

Filed:

Aug. 05, 2022
Applicant:

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

Inventors:

Siddhartha Chaudhuri, Bangalore, IN;

Bo Sun, Austin, TX (US);

Vladimir Kim, Seattle, WA (US);

Noam Aigerman, San Francisco, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G06T 17/20 (2006.01); G06V 10/22 (2022.01); G06V 10/75 (2022.01);
U.S. Cl.
CPC ...
G06T 17/20 (2013.01); G06V 10/22 (2022.01); G06V 10/754 (2022.01); G06V 2201/12 (2022.01);
Abstract

Methods, systems, and non-transitory computer readable storage media are disclosed that utilizes machine learning models for patch retrieval and deformation in completing three-dimensional digital shapes. In particular, in one or more implementations the disclosed systems utilize a machine learning model to predict a coarse completion shape from an incomplete 3D digital shape. The disclosed systems sample coarse 3D patches from the coarse 3D digital shape and learn a shape distance function to retrieve detailed 3D shape patches in the input shape. Moreover, the disclosed systems learn a deformation for each retrieved patch and blending weights to integrate the retrieved patches into a continuous surface.


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