18547628. MULTIRESOLUTION DEEP IMPLICIT FUNCTIONS FOR THREE-DIMENSIONAL SHAPE REPRESENTATION simplified abstract (Google LLC)

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 18547628 titled 'MULTIRESOLUTION DEEP IMPLICIT FUNCTIONS FOR THREE-DIMENSIONAL SHAPE REPRESENTATION

The method described in the patent application involves generating vectors based on grids and 3D positions associated with implicit representations of a 3D object, decoding these vectors to generate multiple representations of the object, and then combining these representations to create a composite representation used to generate a reconstructed volume of the object.

• The method involves generating vectors based on grids and 3D positions.
• These vectors are decoded to generate multiple representations of the 3D object.
• The multiple representations are combined to create a composite representation.
• The composite representation is used to generate a reconstructed volume representing the 3D object.

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

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

Benefits: - Higher quality reconstructed volumes - Improved efficiency in 3D modeling - Enhanced user experience in virtual environments

Commercial Applications: Title: Advanced 3D Reconstruction Technology for Virtual Environments This technology can be used in industries such as: - Gaming and entertainment - Healthcare and medical imaging - Architecture and design

Prior Art: Researchers in the field of computer graphics and imaging have explored various methods for 3D reconstruction and modeling. Some prior art includes techniques for voxel-based reconstruction and implicit surface representations.

Frequently Updated Research: Ongoing research in this field focuses on improving the efficiency and accuracy of 3D reconstruction algorithms, as well as exploring new applications for virtual environments and medical imaging.

Questions about 3D Reconstruction Technology: 1. How does this method compare to existing techniques for 3D reconstruction? 2. What are the potential limitations of this technology in real-world applications?

1. How does this method compare to existing techniques for 3D reconstruction? This method offers a more efficient and accurate approach to generating 3D object representations compared to traditional methods. By combining multiple representations, it can provide a higher quality reconstructed volume.

2. What are the potential limitations of this technology in real-world applications? One potential limitation could be the computational resources required to generate and decode multiple vectors for complex 3D objects. Additionally, the accuracy of the reconstructed volume may depend on the quality of the initial implicit representations.

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.