Iterative multiscale image generation using neural networks
US11734797B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 23, 2022 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | May 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T3/4076
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of generating an output image having an output resolution of N pixels×N pixels, each pixel in the output image having a respective color value for each of a plurality of color channels, the method comprising: obtaining a low-resolution version of the output image; and upscaling the low-resolution version of the output image to generate the output image having the output resolution by repeatedly performing the following operations: obtaining a current version of the output image having a current K×K resolution; and processing the current version of the output image using a set of convolutional neural networks that are specific to the current resolution to generate an updated version of the output image having a 2K×2K resolution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.