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:
Mar. 31, 2020

Filed:

May. 03, 2018
Applicant:

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

Inventors:

Rebecca Ilene Milman, Menlo Park, CA (US);

Jose Ignacio Echevarria Vallespi, San Jose, CA (US);

Jingwan Lu, Santa Clara, CA (US);

Elya Shechtman, Seattle, WA (US);

Duygu Ceylan Aksit, San Jose, CA (US);

David P. Simons, Seattle, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 19/00 (2011.01); G06T 13/40 (2011.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06K 9/00268 (2013.01); G06N 20/00 (2019.01); G06T 13/40 (2013.01); G06T 19/006 (2013.01);
Abstract

Generation of parameterized avatars is described. An avatar generation system uses a trained machine-learning model to generate a parameterized avatar, from which digital visual content (e.g., images, videos, augmented and/or virtual reality (AR/VR) content) can be generated. The machine-learning model is trained to identify cartoon features of a particular style—from a library of these cartoon features—that correspond to features of a person depicted in a digital photograph. The parameterized avatar is data (e.g., a feature vector) that indicates the cartoon features identified from the library by the trained machine-learning model for the depicted person. This parameterization enables the avatar to be animated. The parameterization also enables the avatar generation system to generate avatars in non-photorealistic (relatively cartoony) styles such that, despite the style, the avatars preserve identities and expressions of persons depicted in input digital photographs.


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