Training method for generative adversarial network, image processing method, device and storage medium
US11449751B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 25, 2019 |
| Grant date | Sep 20, 2022 |
| Priority date | — |
| Expiry date | Feb 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20212
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a training method for generative adversarial network, which includes: extracting a first-resolution sample image from a second-resolution sample image; separately providing a first input image and a second input image for a generative network to generate a first output image and a second output image respectively, the first input image including a first-resolution sample image and a first noise image, the second input image including the first-resolution sample image and a second noise image; separately providing the first output image and a second-resolution sample image for a discriminative network to output a first discrimination result and a second discrimination result; and adjusting parameters of the generative network to reduce a loss function. The present disclosure further provides an image processing method using the generative adversarial network, a computer device, and a computer-readable storage medium.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.