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

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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Bibliographic Details
Main Authors: Shuai Hong, Jie Shen, Guonian Lü, Xiaoyan Liu, Yirui Mao, Nina Sun, Long Tang
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:International Journal of Digital Earth
Subjects:
chinese classical private garden
virtual scenario
chinese traditional landscape painting
deep neural network
aesthetic style transfer
Online Access:http://dx.doi.org/10.1080/17538947.2023.2202422

Internet

http://dx.doi.org/10.1080/17538947.2023.2202422

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