Presentation 2018-03-18
A Style Transfer Method using Variational Autoencoder
Hidemoto Nakada, Hideki Asoh,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Image Style Transfer is a technique to render arbitrary image content with arbitrary image 'style'. Most existing image transfer method requires certain amount of time to gradually modify the image itself or to train a transfer network for each style image. We propose a Variational Autoencoder based method which uses style latent variable which is separated from the content latent variable. The proposed network does not require training for each style image and can generate a transfer image with arbitrary content image and arbitrary style image immediately. We introduced separation term between the two kinds of latent variables to the training loss. We confirmed that the proposed method can produce style transferred image with relatively good quality.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Style Transfer / Variational Autoencoder / Deep learning
Paper # BioX2017-56,PRMU2017-192
Date of Issue 2018-03-11 (BioX, PRMU)

Conference Information
Committee PRMU / BioX
Conference Date 2018/3/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shinichi Sato(NII) / Kazuhiko Sumi(AGU)
Vice Chair Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Hiroshi Takano(Toyama Pref. Univ.) / Hitoshi Imaoka(NEC)
Secretary Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Hiroshi Takano(Shizuoka Univ.) / Hitoshi Imaoka(Fujitsu Labs.)
Assistant Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Norihiro Okui(KDDI Research)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Style Transfer Method using Variational Autoencoder
Sub Title (in English)
Keyword(1) Style Transfer
Keyword(2) Variational Autoencoder
Keyword(3) Deep learning
1st Author's Name Hidemoto Nakada
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology(AIST)
2nd Author's Name Hideki Asoh
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology(AIST)
Date 2018-03-18
Paper # BioX2017-56,PRMU2017-192
Volume (vol) vol.117
Number (no) BioX-513,PRMU-514
Page pp.pp.121-126(BioX), pp.121-126(PRMU),
#Pages 6
Date of Issue 2018-03-11 (BioX, PRMU)