Computer-implemented method using convolutional neural network, apparatus for generating composite image, and computer-program product
US11227364B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 17, 2019 |
| Grant date | Jan 18, 2022 |
| Priority date | — |
| Expiry date | Jan 17, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T11/001
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method using a convolutional neural network is provided. The computer-implemented method includes processing an input image through the convolutional neural network to generate an output image including content features of the input image morphed with style features of a style image. The convolutional neural network includes a feature extraction sub-network, a morpher, and a decoder sub-network. Processing the input image through convolutional neural network includes extracting style features of the style image to generate a plurality of style feature maps using the feature extraction sub-network; extracting content features of the input image to generate a plurality of content feature maps using the feature extraction sub-network; morphing the plurality of content feature maps respectively with the plurality of style feature maps to generate a plurality of output feature maps using the morpher; and reconstructing the plurality of output feature maps through the decoder sub-network to generate the output image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.