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:
May. 23, 2023

Filed:

May. 24, 2022
Applicant:

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

Inventors:

Xin Sun, Sunnyvale, CA (US);

Ruben Villegas, Ann Arbor, MI (US);

Manuel Lagunas Arto, San Jose, CA (US);

Jimei Yang, Merced, CA (US);

Jianming Zhang, Campbell, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06T 7/90 (2017.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
G06T 11/001 (2013.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06T 7/90 (2017.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Introduced here are techniques for relighting an image by automatically segmenting a human object in an image. The segmented image is input to an encoder that transforms it into a feature space. The feature space is concatenated with coefficients of a target illumination for the image and input to an albedo decoder and a light transport detector to predict an albedo map and a light transport matrix, respectively. In addition, the output of the encoder is concatenated with outputs of residual parts of each decoder and fed to a light coefficients block, which predicts coefficients of the illumination for the image. The light transport matrix and predicted illumination coefficients are multiplied to obtain a shading map that can sharpen details of the image. Scaling the resulting image by the albedo map to produce the relight image. The relight image can be refined to denoise the relight image.


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