Generating a digital image using a generative adversarial network
US11222246B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 3, 2020 |
| Grant date | Jan 11, 2022 |
| Priority date | — |
| Expiry date | Mar 13, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/103
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments described herein utilize multiple levels of generative adversarial networks (GANs) to facilitate generation of digital images based on user-provided images. Some embodiments comprise a first generative adversarial network (GAN) and a second GAN coupled to the first GAN, where the first GAN includes an image generator and at least two discriminators, and the second GAN includes an image generator and at least one discriminator. According to some embodiments, the (first) image generator of the first GAN is trained by processing a user-provided image using the first GAN. For some embodiments, the user-provided image and the first generated image, generated by processing the user-provided image using the first GAN, are combined to produce a combined image. For some embodiments, the (second) image generator of the second GAN is trained by processing the combined image using the second GAN.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.