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:
Feb. 13, 2024

Filed:

Nov. 05, 2021
Applicant:

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

Inventors:

Marissa Ramirez de Chanlatte, Los Altos, CA (US);

Radomir Mech, Mountain View, CA (US);

Matheus Gadelha, San Jose, CA (US);

Thibault Groueix, Grenoble, FR;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/20 (2011.01); G06N 3/04 (2023.01); G06T 7/50 (2017.01); G06F 18/214 (2023.01); G06T 17/00 (2006.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06F 18/214 (2023.01); G06N 3/04 (2013.01); G06T 7/50 (2017.01); G06T 17/00 (2013.01); G06T 2219/2004 (2013.01);
Abstract

The present disclosure relates to systems, non-transitory computer-readable media, and methods that tune a 3D-object-reconstruction-machine-learning model to reconstruct 3D models of objects from real images using real images as training data. For instance, the disclosed systems can determine a depth map for a real two-dimensional (2D) image and then reconstruct a 3D model of a digital object in the real 2D image based on the depth map. By using a depth map for a real 2D image, the disclosed systems can generate reconstructed 3D models that better conform to the shape of digital objects in real images than existing systems and use such reconstructed 3D models to generate more realistic looking visual effects (e.g., shadows, relighting).


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