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:
Jul. 28, 2026

Filed:

Sep. 28, 2023
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Sergio Orts Escolano, Zurich, CH;

Zhiwen Fan, Austin, TX (US);

Di Qiu, Kitchener, CA;

Yinda Zhang, Palo Alto, CA (US);

Daoye Wang, Zurich, CH;

Erroll Wood, Cambridge, GB;

Abhimitra Meka, San Francisco, CA (US);

Hossam Isack, Oakland, CA (US);

Paulo Fabiano Urnau Gotardo, Zurich, CH;

Kripasindhu Sarkar, Zurich, CH;

Thabo Beeler, Egg, CH;

Zhengyang Shen, Sunnyvale, CA (US);

Alexander Sahba Koumis, San Francisco, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/50 (2006.01); G06T 7/194 (2017.01); H04N 5/272 (2006.01);
U.S. Cl.
CPC ...
G06T 5/50 (2013.01); G06T 7/194 (2017.01); H04N 5/272 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01);
Abstract

A method including capturing a first plurality of images that include a foreground object and a background, capturing a second plurality of images that include the background, generating an alpha matte based on the first plurality of images and the second plurality of images using a trained machine learned model trained using a loss function configured to cause the trained machine learned model to learn high-frequency details of the foreground object, generating a foreground object image based on the first plurality of images and the second plurality of images using the trained machine learned model, and synthesizing an image including the foreground object image and a second background scene using the alpha matte.


Find Patent Forward Citations

Escolano, Sergio. (2026). High-resolution multiview-consistent rendering and alpha matting from sparse views (U.S. Patent No. 12694480). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12694480

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Loading…