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. 10, 2026

Filed:

Dec. 21, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Deqing Sun, Cambridge, MA (US);

Varun Jampani, Rockland, MA (US);

Gengshan Yang, Pittsburgh, PA (US);

Daniel Vlasic, Cambridge, MA (US);

Huiwen Chang, Jersey City, NJ (US);

Forrester H. Cole, Cambridge, MA (US);

Ce Liu, Cambridge, MA (US);

William Tafel Freeman, Acton, MA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/40 (2017.01); G06T 7/20 (2017.01); G06T 7/55 (2017.01); G06T 17/20 (2006.01); G06T 19/20 (2011.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06T 7/20 (2013.01); G06T 7/40 (2013.01); G06T 7/55 (2017.01); G06T 17/20 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30244 (2013.01); G06T 2219/2021 (2013.01);
Abstract

A computing system and method can be used to render a 3D shape from one or more images. In particular, the present disclosure provides a general pipeline for learning articulated shape reconstruction from images (LASR). The pipeline can reconstruct rigid or nonrigid 3D shapes. In particular, the pipeline can automatically decompose non-rigidly deforming shapes into rigid motions near rigid-bones. This pipeline incorporates an analysis-by-synthesis strategy and forward-renders silhouette, optical flow, and color images which can be compared against the video observations to adjust the internal parameters of the model. By inverting a rendering pipeline and incorporating optical flow, the pipeline can recover a mesh of a 3D model from the one or more images input by a user.


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