Learning hybrid (surface-based and volume-based) shape representation
US11403807B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2020 |
| Grant date | Aug 2, 2022 |
| Priority date | — |
| Expiry date | Feb 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2200/24
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain embodiments involve techniques for generating a 3D representation based on a provided 2D image of an object. An image generation system receives the 2D image representation and generates a multi-dimensional vector of the input that represents the image. The image generation system samples a set of points and provides the set of points and the multi-dimensional vector to a neural network that was trained to predict a 3D surface representing the image such that the 3D surface is consistent with a 3D surface of the object calculated using an implicit function for representing the image. The neural network predicts, based on the multi-dimensional vector and the set of points, the 3D surface representing the object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.