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:
Apr. 14, 2026

Filed:

Oct. 17, 2023
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Xiaowei Zhou, Hangzhou, CN;

Hujun Bao, Hangzhou, CN;

Sida Peng, Hangzhou, CN;

Junting Dong, Hangzhou, CN;

Assignee:

ZHEJIANG UNIVERSITY, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/20 (2006.01); G06T 15/08 (2011.01); G06T 15/10 (2011.01); G06T 19/20 (2011.01);
U.S. Cl.
CPC ...
G06T 17/20 (2013.01); G06T 15/08 (2013.01); G06T 15/10 (2013.01); G06T 19/20 (2013.01); G06T 2219/2012 (2013.01); G06T 2219/2016 (2013.01);
Abstract

A drivable implicit three-dimensional human body representation method, which is used for performing dynamic reconstruction by means of optimizing a three-dimensional representation of a drivable model from an input multi-view video. The method comprises: constructing an implicit function used for representing a dynamic human body; providing a neural skin hybrid weight field represented by a neural network, thereby implementing a method for learning and obtaining a drivable implicit function from a video, and optimizing and obtaining a drivable three-dimensional model from a video; learning a neural skin hybrid weight field in each video frame, and transforming a three-dimensional point of each video frame back to a standard coordinate system, so as to integrate time sequence information of a video and enhance observation of a target, thereby optimizing a three-dimensional model in the standard coordinate system; and learning a neural skin hybrid weight field in the standard coordinate system, such that the three-dimensional model can be driven to generate a three-dimensional model in a new pose.


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