Editing neural radiance fields with neural basis decomposition
US12211138B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 13, 2022 |
| Grant date | Jan 28, 2025 |
| Priority date | — |
| Expiry date | Jul 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2219/2012
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present disclosure provide systems, methods, and computer storage media for generating editable synthesized views of scenes by inputting image rays into neural networks using neural basis decomposition. In embodiments, a set of input images of a scene depicting at least one object are collected and used to generate a plurality of rays of the scene. The rays each correspond to three-dimensional coordinates and viewing angles taken from the images. A volume density of the scene is determined by inputting the three-dimensional coordinates from the neural radiance fields into a first neural network to generate a 3D geometric representation of the object. An appearance decomposition is produced by inputting the three-dimensional coordinates and the viewing angles of the rays into a second neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.