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:
Aug. 11, 2026

Filed:

Sep. 18, 2024
Applicant:

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

Inventors:

He Zhang, Santa Clara, CA (US);

Zhixin Shu, San Jose, CA (US);

Yiqun Mei, Baltimore, MD (US);

Xuaner Zhang, Cupertino, CA (US);

Sai Bi, San Jose, CA (US);

Jianming Zhang, Campbell, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/70 (2017.01); G06T 15/04 (2011.01); G06T 15/50 (2011.01);
U.S. Cl.
CPC ...
G06T 15/506 (2013.01); G06T 7/70 (2017.01); G06T 15/04 (2013.01); G06T 2200/04 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01); G06T 2215/12 (2013.01);
Abstract

Techniques for volumetric re-lighting of 3D objects are disclosed. In an example method, a computing system receives a first image of a three-dimensional ('3D') object. The computing system generates a de-lighted image of the 3D object based on the first image. The computing system generates an embedded representation of the 3D object based on the de-lighted image and a first representation of the de-lighted image based on the embedded representation using a first machine learning (“ML”) model. The computing system generates a second representation of the 3D object using a second ML model based on orientation and lighting information and one or more internal states of the first ML model. The computing system generates a third representation of the 3D object by combining the first and second representations. The computing system renders a second image of the 3D object based on the third representation of the 3D object.


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