Invention Grant
- Patent Title: Computer-implemented method using convolutional neural network, apparatus for generating composite image, and computer-program product
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Application No.: US16613073Application Date: 2019-05-17
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Publication No.: US11227364B2Publication Date: 2022-01-18
- Inventor: Dan Zhu , Pablo Navarrete Michelini , Lijie Zhang , Hanwen Liu
- Applicant: BOE Technology Group Co., Ltd.
- Applicant Address: CN Beijing
- Assignee: BOE Technology Group Co., Ltd.
- Current Assignee: BOE Technology Group Co., Ltd.
- Current Assignee Address: CN Beijing
- Agency: Intellectual Valley Law, P.C.
- Priority: CN201811118522.6 20180925
- International Application: PCT/CN2019/087447 WO 20190517
- International Announcement: WO2020/062894 WO 20200402
- Main IPC: G06T3/40
- IPC: G06T3/40 ; G06K9/62 ; G06N3/08

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.
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