Material map identification and augmentation
US11488342B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 27, 2021 |
| Grant date | Nov 1, 2022 |
| Priority date | — |
| Expiry date | May 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/762
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the technology described herein, make unknown material-maps in a Physically Based Rendering (PBR) asset usable through an identification process that relies, at least in part, on image analysis. In addition, when a desired material-map type is completely missing from a PBR asset the technology described herein may generate a suitable synthetic material map for use in rendering. In one aspect, the correct map type is assigned using a machine classifier, such as a convolutional neural network, which analyzes image content of the unknown material map and produce a classification. The technology described herein also correlates material maps into material definitions using a combination of the material-map type and similarity analysis. The technology described herein may generate synthetic maps to be used in place of the missing material maps. The synthetic maps may be generated using a Generative Adversarial Network (GAN).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.