Computer-implemented method using a neural network comprising down-sampling segment, densely connected segment, and up-sampling segment, apparatus, and computer-program product
US11842267B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 22, 2019 |
| Grant date | Dec 12, 2023 |
| Priority date | — |
| Expiry date | Dec 11, 2041 |
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 using a convolutional neural network includes processing an input image through at least one channel of the convolutional neural network to generate an output image including content features of the input image morphed with style features of a reference style image. The at least one channel includes a down-sampling segment, a densely connected segment, and an up-sampling segment sequentially connected together. Processing the input image through the at least one channel of the convolutional neural network includes processing an input signal through the down-sampling segment to generate a down-sampling segment output; processing the down-sampling segment output through the densely connected segment to generate a densely connected segment output; and processing the densely connected segment output through the up-sampling segment to generate an up-sampling segment output. The input signal includes a component of the input image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.