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

  • Jingdezhen Ceramic Institute
  • Harrisburg University of Science and Technology
  • Zhejiang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings
EditorsMeikang Qiu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages549-563
Number of pages15
ISBN (Print)9783030602475
DOIs
StatePublished - 2020
Externally publishedYes
Event20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020 - New York, United States
Duration: 2 Oct 20204 Oct 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12454 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020
Country/TerritoryUnited States
CityNew York
Period2/10/204/10/20

Keywords

  • Ceramic cloud design service platform
  • Ceramic decorative pattern
  • Deep learning
  • Image style transferring

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