Digital image layout training using wireframe rendering within a generative adversarial network (GAN) system
US10997464B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 9, 2018 |
| Grant date | May 4, 2021 |
| Priority date | — |
| Expiry date | Aug 1, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/274
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Digital image layout training is described using wireframe rendering within a generative adversarial network (GAN) system. A GAN system is employed to train the generator module to refine digital image layouts. To do so, a wireframe rendering discriminator module rasterizes a refined digital training digital image layout received from a generator module into a wireframe digital image layout. The wireframe digital image layout is then compared with at least one ground truth digital image layout using a loss function as part of machine learning by the wireframe discriminator module. The generator module is then trained by backpropagating a result of the comparison.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.