Contained neural style transfer for decorated logo generation

Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

4 被引用数 (Scopus)

抄録

Making decorated logos requires image editing skills, without sufficient skills, it could be a time-consuming task. While there are many on-line web services to make new logos, they have limited designs and duplicates can be made. We propose using neural style transfer with clip art and text for the creation of new and genuine logos. We introduce a new loss function based on distance transform of the input image, which allows the preservation of the silhouettes of text and objects. The proposed method contains style transfer to only a designated area. We demonstrate the characteristics of proposed method. Finally, we show the results of logo generation with various input images.

本文言語英語
ホスト出版物のタイトルProceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ317-322
ページ数6
ISBN(電子版)9781538633465
DOI
出版ステータス出版済み - 6 22 2018
イベント13th IAPR International Workshop on Document Analysis Systems, DAS 2018 - Vienna, オーストリア
継続期間: 4 24 20184 27 2018

出版物シリーズ

名前Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018

その他

その他13th IAPR International Workshop on Document Analysis Systems, DAS 2018
国/地域オーストリア
CityVienna
Period4/24/184/27/18

All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識
  • 信号処理

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