Digital image completion by learning generation and patch matching jointly
US10755391B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 15, 2018 |
| Grant date | Aug 25, 2020 |
| Priority date | — |
| Expiry date | Jul 25, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Digital image completion by learning generation and patch matching jointly is described. Initially, a digital image having at least one hole is received. This holey digital image is provided as input to an image completer formed with a dual-stage framework that combines a coarse image neural network and an image refinement network. The coarse image neural network generates a coarse prediction of imagery for filling the holes of the holey digital image. The image refinement network receives the coarse prediction as input, refines the coarse prediction, and outputs a filled digital image having refined imagery that fills these holes. The image refinement network generates refined imagery using a patch matching technique, which includes leveraging information corresponding to patches of known pixels for filtering patches generated based on the coarse prediction. Based on this, the image completer outputs the filled digital image with the refined imagery.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.