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:
Sep. 15, 2026

Filed:

Jun. 02, 2023
Applicant:

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

Inventors:

Hui Qu, San Jose, CA (US);

Wei-An Lin, San Jose, CA (US);

Ratheesh Kalarot, San Diego, CA (US);

Assignee:

ADOBE INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 5/50 (2006.01); G06T 3/18 (2024.01); G06T 5/77 (2024.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 11/10 (2026.01);
U.S. Cl.
CPC ...
G06T 5/50 (2013.01); G06T 3/18 (2024.01); G06T 5/77 (2024.01); G06T 7/0002 (2013.01); G06T 7/11 (2017.01); G06T 11/10 (2026.01); G06T 2207/10024 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30201 (2013.01);
Abstract

Systems and methods generate paired image data comprising synthesized eyeglass reflections and use the paired image data to train a machine learning model for reflection removal. A training dataset is generated that includes image pairs. Each image pair comprises a first version of a face image with eyeglasses not having a reflection and a second version of the face image with eyeglasses having a reflection. A first image pair in the training dataset is generated by: obtaining a first face image with eyeglasses not having a reflection, obtaining a reflection image, and generating a composite image using the first face image and the reflection image. Once generated, the training dataset is used to train a machine learning model to provide a trained machine learning model that performs reflection removal on input face images with eyeglass reflections.


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