A convolutional neural artistic stylization algorithm for suppressing image distortion

Aiming at the problems of image semantic content distortion and blurred foreground and background boundaries during the transfer process of convolutional neural image stylization, we propose a convolutional neural artistic stylization algorithm for suppressing image distortion. Firstly, the VGG-19 n...

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Autori principali:	SHEN Yu, YANG Qian, ZHANG Hongguo, WANG Lin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Publishing Center of North University of China 2021-01-01
Serie:	Journal of Measurement Science and Instrumentation
Soggetti:	neural network style transfer deep learning affine transformation
Accesso online:	http://jmsi.publish.founderss.cn/thesisDetails?columnId=47036424&Fpath=home&index=0
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