Learning method, learning system, learned model, program, and super resolution image generating device
US12217387B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 12, 2021 |
| Grant date | Feb 4, 2025 |
| Priority date | — |
| Expiry date | Jul 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided are a learning method and a learning system of a generative model, a program, a learned model, and a super resolution image generating device that can handle input data of any size and can suppress the amount of calculation at the time of image generation. A learning method according to an embodiment of the present disclosure is a learning method for performing machine learning of a generative model that estimates, from a first image, a second image including higher resolution image information than the first image, the method comprising using a generative adversarial network including a generator which is the generative model and a discriminator which is an identification model that identifies whether provided data is data of a correct image for learning or data derived from an output from the generator and implementing a self-attention mechanism only in a network of the discriminator among the generator and the discriminator.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.