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:
Dec. 27, 2022

Filed:

Sep. 03, 2019
Applicants:

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

Université Laval, Québec, CA;

Inventors:

Kalyan Sunkavalli, San Jose, CA (US);

Yannick Hold-Geoffroy, San Jose, CA (US);

Christian Gagne, Quebec City, CA;

Marc-Andre Gardner, Quebec City, CA;

Jean-Francois Lalonde, Quebec City, CA;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/00 (2011.01); G06T 15/50 (2011.01); G06T 7/50 (2017.01); G06T 7/90 (2017.01); G06T 7/70 (2017.01); G06N 3/08 (2006.01); G06T 7/60 (2017.01);
U.S. Cl.
CPC ...
G06T 15/506 (2013.01); G06N 3/08 (2013.01); G06T 7/50 (2017.01); G06T 7/60 (2013.01); G06T 7/70 (2017.01); G06T 7/90 (2017.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

This disclosure relates to methods, non-transitory computer readable media, and systems that can render a virtual object in a digital image by using a source-specific-lighting-estimation-neural network to generate three-dimensional ('3D') lighting parameters specific to a light source illuminating the digital image. To generate such source-specific-lighting parameters, for instance, the disclosed systems utilize a compact source-specific-lighting-estimation-neural network comprising both common network layers and network layers specific to different lighting parameters. In some embodiments, the disclosed systems further train such a source-specific-lighting-estimation-neural network to accurately estimate spatially varying lighting in a digital image based on comparisons of predicted environment maps from a differentiable-projection layer with ground-truth-environment maps.


Find Patent Forward Citations

Loading…