Research on Stylization Algorithm of Ceramic Decorative Pattern Based on Ceramic Cloud Design Service Platform

被引：0
作者：
Liu, Xinxin [1 ]
Huang, Hua [1 ]
Qiu, Meikang [2 ]
Liu, Meiqin [3 ]
机构：
[1] Jingdezhen Ceram Inst, Sch Informat Engn, Jingdezhen, Peoples R China
[2] Harrisburg Univ Sci & Technol, Dept Comp Sci, Harrisburg, PA 17101 USA
[3] Zhejiang Univ, Coll Elect Engn, Hangzhou, Zhejiang, Peoples R China
来源：
ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2020, PT III | 2020年 / 12454卷
基金：
中国国家自然科学基金;
关键词：
Ceramic decorative pattern; Ceramic cloud design service platform; Deep learning; Image style transferring; SEMANTIC ANALYSIS; DEEP;
D O I：
10.1007/978-3-030-60248-2_37
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the problem of limited universality of the ceramic decorative pattern generation method, based on cloud computing and deep learning, a ceramic decorative pattern stylization algorithm based on ceramic cloud design service platform is proposed. This approach adopts the VGG19 network structure to implement the image style transferring algorithm. To evaluate the effect of our approach, eight groups of experiments are conducted to compare the content image and style image, and the effect of parameter modification on the generated image. After a comparative analysis of the experiment, the generated ceramic decorative pattern is very close to the real ceramic decorative pattern, the effect is more realistic, and it is practical.
引用
收藏
页码：549 / 563
页数：15
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