Google llc (20240303908). MULTIRESOLUTION DEEP IMPLICIT FUNCTIONS FOR THREE-DIMENSIONAL SHAPE REPRESENTATION simplified abstract

MULTIRESOLUTION DEEP IMPLICIT FUNCTIONS FOR THREE-DIMENSIONAL SHAPE REPRESENTATION

Organization Name

google llc

Inventor(s)

Yinda Zhang of Daly City CA (US)

Danhang Tang of West Hollywood CA (US)

Ruofei Du of San Francisco CA (US)

Zhang Chen of Beijing (CN)

Kyle Genova of San Mateo CA (US)

Sofien Bouaziz of Los Gatos CA (US)

Thomas Allen Funkhouser of Menlo Park CA (US)

Sean Ryan Francesco Fanello of San Francisco CA (US)

Christian Haene of Berkeley CA (US)

MULTIRESOLUTION DEEP IMPLICIT FUNCTIONS FOR THREE-DIMENSIONAL SHAPE REPRESENTATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240303908 titled 'MULTIRESOLUTION DEEP IMPLICIT FUNCTIONS FOR THREE-DIMENSIONAL SHAPE REPRESENTATION

The method described in the patent application involves generating vectors based on grids and three-dimensional positions associated with implicit representations of a 3D object, decoding these vectors to generate different representations of the object, and ultimately creating a reconstructed volume representing the 3D object.

• Generating vectors based on grids and 3D positions
• Decoding vectors to generate different representations of the 3D object
• Creating a composite representation of the 3D object
• Generating a reconstructed volume representing the 3D object

Potential Applications: - 3D modeling and visualization - Medical imaging and diagnostics - Virtual reality and augmented reality

Problems Solved: - Efficient generation of 3D object representations - Improved accuracy in reconstructing 3D objects

Benefits: - Enhanced visualization of complex 3D objects - Streamlined process for creating 3D models - Accurate representation of 3D structures

Commercial Applications: Title: Advanced 3D Modeling and Visualization Technology This technology could be used in industries such as: - Architecture and construction - Gaming and animation - Healthcare and medical imaging

Questions about the technology: 1. How does this method improve upon existing 3D modeling techniques? 2. What are the potential limitations of this technology in terms of scalability and complexity?

Frequently Updated Research: Stay updated on advancements in 3D modeling algorithms and techniques to enhance the efficiency and accuracy of this technology.

Original Abstract Submitted

a method including generating a first vector based on a first grid and a three-dimensional (3d) position associated with a first implicit representation (ir) of a 3d object, generating at least one second vector based on at least one second grid and an upsampled first grid, decoding the first vector to generate a second ir of the 3d object, decoding the at least one second vector to generate at least one third ir of the 3d object, generating a composite ir of the 3d object based on the second ir of the 3d object and the at least one third ir of the 3d object, and generating a reconstructed volume representing the 3d object based on the composite ir of the 3d object.