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. 20, 2025

Filed:

Sep. 21, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Chloe LeGendre, Culver City, CA (US);

Paul Debevec, Culver City, CA (US);

Wan-Chun Ma, Culver City, CA (US);

Rohit Pandey, Mountain View, CA (US);

Sean Ryan Francesco Fanello, San Francisco, CA (US);

Christina Tong, Pleasanton, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/60 (2022.01); G06F 18/214 (2023.01); H04N 23/611 (2023.01); H04N 23/741 (2023.01);
U.S. Cl.
CPC ...
G06V 10/60 (2022.01); G06F 18/214 (2023.01); H04N 23/611 (2023.01); H04N 23/741 (2023.01);
Abstract

Techniques of estimating lighting from portraits includes generating a lighting estimate from a single image of a face based on a machine learning (ML) system using multiple bidirectional reflection distribution functions (BRDFs) as a loss function. In some implementations, the ML system is trained using images of faces formed with HDR illumination computed from LDR imagery. The technical solution includes training a lighting estimation model in a supervised manner using a dataset of portraits and their corresponding ground truth illumination.


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