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:
Aug. 04, 2026

Filed:

Aug. 03, 2023
Applicants:

Toyota Research Institute, Inc., Los Altos, CA (US);

Massachusetts Institute of Technology, Cambridge, MA (US);

Inventors:

Vitor Guizilini, Santa Clara, CA (US);

Rares A. Ambrus, San Francisco, CA (US);

Jiading Fang, Chicago, IL (US);

Sergey Zakharov, San Francisco, CA (US);

Vincent Sitzmann, Cambridge, MA (US);

Igor Vasiljevic, Pacifica, CA (US);

Adrien Gaidon, San Jose, CA (US);

Assignees:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 15/08 (2011.01); G06T 3/18 (2024.01); G06T 15/20 (2011.01); G06V 10/25 (2022.01); G06V 10/774 (2022.01); G06V 20/40 (2022.01); G06V 20/56 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G06T 15/08 (2013.01); G06T 3/18 (2024.01); G06T 15/20 (2013.01); G06V 10/25 (2022.01); G06V 10/7747 (2022.01); G06V 20/41 (2022.01); G06V 20/56 (2022.01); G06V 20/64 (2022.01);
Abstract

Systems and methods described herein support enhanced computer vision capabilities which may be applicable to, for example, autonomous vehicle operation. An example method includes An example method includes training a shared latent space and a first decoder based on first image data that includes multiple images, and training the shared latent space and a second decoder based on second image data that includes multiple images. The method also includes generating a volumetric embedding that is representative of a novel viewing frame the first scene. Further, the method includes decoding, with the first decoders, the shared latent space with the volumetric embedding, and generating the novel viewing frame of the first scene based on the output of the first decoder.


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