Image processing method, image processing device, and training method of neural network
US11461639B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 16, 2018 |
| Grant date | Oct 4, 2022 |
| Priority date | — |
| Expiry date | Dec 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A training method of a neural network for implementing image style transfer, an image processing method and an image processing device are disclosed. The training method includes: acquiring a first training input image and a second training input image; performing a style transfer process on the first training input image by the neural network to obtain a training output image; based on the first training input image, the second training input image and the training output image, calculating a loss value of parameters of the neural network through a loss function; and modifying the parameters of the neural network according to the loss value, where the loss function satisfies a predetermined condition, obtaining a trained neural network, where the loss function doesn't satisfy the predetermined condition, continuing to repeatedly perform above training process, the loss function including a weight-bias-ratio loss function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.