Method of replacing missing image data by using neural network and apparatus thereof
US11748851B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 6, 2019 |
| Grant date | Sep 5, 2023 |
| Priority date | — |
| Expiry date | May 14, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are a method and apparatus for replacing missing image data. The method of replacing missing image data includes receiving input image data for at least two or more domains among preset multiple domains, and restoring missing image data of a preset target domain by using a neural network that uses the two or more input image data as inputs. The neural network may combine fake image data of a first target domain generated by inputting real image data of at least two or more domains of the multiple domains and the real image data, and be trained by using a multi-cycle consistency loss in which an image restored by inputting the combined image data is similar with the real image data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.