Presentation 2022-02-21
Illustration author style translation using SailormoonRedraw data
Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui, Naohiro Yanase, Kiyoharu Aizawa,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The author characteristics of illustrations can be divided into two elements: "what to draw" and "how to draw". The latter is called "author style" and is an important factor in illustration. We propose a deep learning-based method that auto- matically translates one’s illustration into another author’s style. Existing unsupervised image translation methods only replace textures, so they cannot achieve author style translation that requires structural transformation while maintaining the character. To solve this problem, we created a novel illustration dataset, SailormoonDataset, which consists of SailormoonRedraw data. We then propose a supervised learning method using the content consistency of the SailormoonDataset. As a first step, we translated the face illustration of Sailormoon. Through experiments, we confirmed that the proposed method achieves the style translation not only by textural but also by structural transformation while maintaining the identity of Sailormoon.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Deep Learning / Image Generation / Image Translation / Support System for Illustration Production
Paper # ITS2021-26,IE2021-35
Date of Issue 2022-02-14 (ITS, IE)

Conference Information
Committee IE / ITS / ITE-AIT / ITE-ME / ITE-MMS
Conference Date 2022/2/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Image Processing, etc.
Chair Kazuya Kodama(NII) / Masahiro Fujii(Utsunomiya Univ.) / Hisaki Nate(Tokyo Polytechnic Univ.) / Hiroyuki Arai(Nippon Inst. of Tech.) / Kenji Machida(NHK)
Vice Chair Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) / Kohei Ohno(Meiji Univ.) / Naohisa Hashimoto(AIST) / / Shogo Muramatsu(Niigata Univ.)
Secretary Hiroyuki Bandoh(KDDI Research) / Toshihiko Yamazaki(Nagoya Inst. of Tech.) / Kohei Ohno(Akita Prefectural Univ.) / Naohisa Hashimoto(NIT, Tsuruoka College) / / Shogo Muramatsu(NHK) / (Hokkaido Univ.)
Assistant Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Msataka Imao(Mitsubishi Electric) / Kenshi Saho(Toyama Prefectural Univ.) / Keiji Jimi(Gunma Univ.)

Paper Information
Registration To Technical Committee on Image Engineering / Technical Committee on Intelligent Transport Systems Technology / Technical Group on Artistic Image Technology / Technical Group on Media Engineering / Technical Group on Multi-media Storage
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Illustration author style translation using SailormoonRedraw data
Sub Title (in English)
Keyword(1) Deep Learning
Keyword(2) Image Generation
Keyword(3) Image Translation
Keyword(4) Support System for Illustration Production
1st Author's Name Keita Awane
1st Author's Affiliation The University of Tokyo(UTokyo)
2nd Author's Name Daichi Horita
2nd Author's Affiliation The University of Tokyo(UTokyo)
3rd Author's Name Hikaru Ikuta
3rd Author's Affiliation The University of Tokyo(UTokyo)
4th Author's Name Yusuke Matsui
4th Author's Affiliation The University of Tokyo(UTokyo)
5th Author's Name Naohiro Yanase
5th Author's Affiliation BOOK WALKER Co.,Ltd.(BOOK WALKER)
6th Author's Name Kiyoharu Aizawa
6th Author's Affiliation The University of Tokyo(UTokyo)
Date 2022-02-21
Paper # ITS2021-26,IE2021-35
Volume (vol) vol.121
Number (no) ITS-373,IE-374
Page pp.pp.7-12(ITS), pp.7-12(IE),
#Pages 6
Date of Issue 2022-02-14 (ITS, IE)