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. 20, 2021

Filed:

Jun. 05, 2019
Applicants:

Cristian Sminchisescu, Bucharest, RO;

Mihai Zanfir, Bucharest, RO;

Alin-lonut Popa, Sat Negoiesti, RO;

Andrei Zanfir, Bucharest, RO;

Elisabeta Marinoiu, Ploiesti, RO;

Inventors:

Cristian Sminchisescu, Bucharest, RO;

Mihai Zanfir, Bucharest, RO;

Alin-lonut Popa, Sat Negoiesti, RO;

Andrei Zanfir, Bucharest, RO;

Elisabeta Marinoiu, Ploiesti, RO;

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/20 (2011.01); G06T 7/11 (2017.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 17/20 (2006.01); G06T 19/00 (2011.01); G06T 13/40 (2011.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06K 9/00362 (2013.01); G06K 9/6256 (2013.01); G06T 7/11 (2017.01); G06T 17/20 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); G06T 2219/2012 (2013.01);
Abstract

The present invention is directed to generating an image based on first image data of a first person having first pose, first body shape, and first clothing and second image data of a second person having second pose, a second body shape, and second clothing. The generated image represents a transfer of appearance (e.g., clothing) of the second person to the first person. This is achieved by modeling 3d human pose and body shape for each of the persons via triangle mesh, fitting the 3d human pose and body shape models to the images of the persons, transferring appearance using barycentric methods for commonly visible vertices, and learning to color the remaining ones using deep image synthesis techniques.


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