Contained neural style transfer for decorated logo generation

Gantugs Atarsaikhan; Brian Kenji Iwana; Seiichi Uchida

doi:10.1109/DAS.2018.78

Contained neural style transfer for decorated logo generation

Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	317-322
Number of pages	6
ISBN (Electronic)	9781538633465
DOIs	https://doi.org/10.1109/DAS.2018.78
Publication status	Published - Jun 22 2018
Event	13th IAPR International Workshop on Document Analysis Systems, DAS 2018 - Vienna, Austria Duration: Apr 24 2018 → Apr 27 2018

Publication series

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

Other

Other	13th IAPR International Workshop on Document Analysis Systems, DAS 2018
Country/Territory	Austria
City	Vienna
Period	4/24/18 → 4/27/18

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/DAS.2018.78

Cite this

Atarsaikhan, G., Iwana, B. K., & Uchida, S. (2018). Contained neural style transfer for decorated logo generation. In Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018 (pp. 317-322). (Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DAS.2018.78

Contained neural style transfer for decorated logo generation. / Atarsaikhan, Gantugs; Iwana, Brian Kenji ; Uchida, Seiichi.
Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 317-322 (Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Atarsaikhan, G, Iwana, BK & Uchida, S 2018, Contained neural style transfer for decorated logo generation. in Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018. Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 317-322, 13th IAPR International Workshop on Document Analysis Systems, DAS 2018, Vienna, Austria, 4/24/18. https://doi.org/10.1109/DAS.2018.78

Atarsaikhan G, Iwana BK , Uchida S. Contained neural style transfer for decorated logo generation. In Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 317-322. (Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018). doi: 10.1109/DAS.2018.78

Atarsaikhan, Gantugs ; Iwana, Brian Kenji ; Uchida, Seiichi. / Contained neural style transfer for decorated logo generation. Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 317-322 (Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018).

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abstract = "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.",

author = "Gantugs Atarsaikhan and Iwana, {Brian Kenji} and Seiichi Uchida",

note = "Funding Information: This research was partially supported by MEXT-Japan (Grant No.J17H06100). Publisher Copyright: {\textcopyright} 2018 IEEE.; 13th IAPR International Workshop on Document Analysis Systems, DAS 2018 ; Conference date: 24-04-2018 Through 27-04-2018",

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Contained neural style transfer for decorated logo generation

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