BatikGAN: A Generative Adversarial Network for Batik Creation

Wei Ta Chu, Lin Yu Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We propose a texture synthesis method based on generative adversarial networks, focusing on a cultural emblem, called Batik, of southeastern Asian countries. We propose a two-stage training approach to construct the network, first generating patches and then combining patches to generate the entire Batik image. Regular repetition and synthesis artifact removal are jointly considered to guide model training. In the evaluation, we show that the proposed generator fuses two Batik styles, removes blocking artifacts, and generates harmonious Batik images. Qualitative and quantitative evaluations are provided to show promising performance from several perspectives.

Original languageEnglish
Title of host publicationMMArt-ACM 2020 - Proceedings of the 2020 Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia
PublisherAssociation for Computing Machinery
Pages13-18
Number of pages6
ISBN (Electronic)9781450371377
DOIs
Publication statusPublished - 2020 Jun 8
Event3rd Joint International Workshop on Multimedia Artworks Analysis and International Workshop on Attractiveness Computing in Multimedia, MMArt-ACM 2020 - Dublin, Ireland
Duration: 2020 Jun 8 → …

Publication series

NameMMArt-ACM 2020 - Proceedings of the 2020 Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia

Conference

Conference3rd Joint International Workshop on Multimedia Artworks Analysis and International Workshop on Attractiveness Computing in Multimedia, MMArt-ACM 2020
CountryIreland
CityDublin
Period20-06-08 → …

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Science Applications

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