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. 25, 2025

Filed:

Jan. 30, 2024
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Benjamin Ummenhofer, Unterhaching, DE;

Shenlong Wang, Santa Clara, CA (US);

Sanskar Agrawal, Santa Clara, CA (US);

Yixing Lao, Santa Clara, CA (US);

Kai Zhang, Santa Clara, CA (US);

Stephan Richter, Neubiberg, DE;

Vladlen Koltun, Santa Clara, CA (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/00 (2011.01); G06N 3/045 (2023.01); G06T 15/04 (2011.01); G06T 15/50 (2011.01); G06T 17/20 (2006.01);
U.S. Cl.
CPC ...
G06T 15/005 (2013.01); G06N 3/045 (2023.01); G06T 15/04 (2013.01); G06T 15/506 (2013.01); G06T 17/20 (2013.01); G06T 2200/08 (2013.01); G06T 2210/52 (2013.01);
Abstract

Described herein are techniques for learning neural reflectance shaders from images. A set of one or more machine learning models can be trained to optimize an illumination latent code and a set of reflectance latent codes for an object within a set of input images. A shader can then be generated based on a machine learning model of the one or more machine learning models. The shader is configured to sample the illumination latent code and the set of reflectance latent codes for the object. A 3D representation of the object can be rendered using the generated shader.


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