Deep high-resolution style synthesis
US10482639B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 21, 2017 |
| Grant date | Nov 19, 2019 |
| Priority date | — |
| Expiry date | Mar 19, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some embodiments, techniques for synthesizing an image style based on a plurality of neural networks are described. A computer system selects a style image based on user input that identifies the style image. The computer system generates an image based on a generator neural network and a loss neural network. The generator neural network outputs the synthesized image based on a noise vector and the style image and is trained based on style features generated from the loss neural network. The loss neural network outputs the style features based on a training image. The training image and the style image have a same resolution. The style features are generated at different resolutions of the training image. The computer system provides the synthesized image to a user device in response to the user input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.