Aesthetic style transferring method based on deep neural network between Chinese landscape painting and classical private garden’s virtual scenario

Most of the existing virtual scenarios built for the digital protection of Chinese classical private gardens are too modern in expression style to show the aesthetic significance of their historical period. Considering the aesthetic commonality between traditional Chinese landscape paintings and cla...

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Detalles Bibliográficos

Principais autores:	Shuai Hong, Jie Shen, Guonian Lü, Xiaoyan Liu, Yirui Mao, Nina Sun, Long Tang
Formato:	Artigo
Idioma:	Inglês
Publicado:	Taylor & Francis Group 2023-12-01
Series:	International Journal of Digital Earth
Assuntos:	chinese classical private garden virtual scenario chinese traditional landscape painting deep neural network aesthetic style transfer
Acceso en liña:	http://dx.doi.org/10.1080/17538947.2023.2202422
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