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:
Oct. 07, 2025

Filed:

Apr. 07, 2023
Applicant:

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

Inventors:

Zhixin Shu, San Jose, CA (US);

Zexiang Xu, San Jose, CA (US);

Shahrukh Athar, Stony Brook, NY (US);

Sai Bi, San Jose, CA (US);

Kalyan Sunkavalli, Saratoga, CA (US);

Fujun Luan, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/20 (2011.01); G06N 3/08 (2023.01); G06T 15/80 (2011.01); G06T 17/20 (2006.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06N 3/08 (2013.01); G06T 15/80 (2013.01); G06T 17/20 (2013.01); G06T 2210/44 (2013.01); G06T 2219/2012 (2013.01); G06T 2219/2021 (2013.01);
Abstract

Certain aspects and features of this disclosure relate to providing a controllable, dynamic appearance for neural 3D portraits. For example, a method involves projecting a color at points in a digital video portrait based on location, surface normal, and viewing direction for each respective point in a canonical space. The method also involves projecting, using the color, dynamic face normals for the points as changing according to an articulated head pose and facial expression in the digital video portrait. The method further involves disentangling, based on the dynamic face normals, a facial appearance in the digital video portrait into intrinsic components in the canonical space. The method additionally involves storing and/or rendering at least a portion of a head pose as a controllable, neural 3D portrait based on the digital video portrait using the intrinsic components.


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