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| Presentation | 2018-03-18 17:10 A Style Transfer Method using Variational Autoencoder Hidemoto Nakada, Hideki Asoh (AIST)  BioX2017-56 PRMU2017-192 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Style Transfer / Variational Autoencoder / Deep learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 514, PRMU2017-192, pp. 121-126, March 2018. | |
| Paper # | PRMU2017-192 | |
| Date of Issue | 2018-03-11 (BioX, PRMU) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | BioX2017-56 PRMU2017-192 |
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| Conference Information | |
| Committee | PRMU BioX |
| Conference Date | 2018-03-18 - 2018-03-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2018-03-PRMU-BioX |
| Language | Japanese |
| 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 |
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| 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) |
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| Speaker | Author-1 |
| Date Time | 2018-03-18 17:10:00 |
| Presentation Time | 25 minutes |
| Registration for | PRMU |
| Paper # | BioX2017-56, PRMU2017-192 |
| Volume (vol) | vol.117 |
| Number (no) | no.513(BioX), no.514(PRMU) |
| Page | pp.121-126 |
| #Pages | 6 |
| Date of Issue | 2018-03-11 (BioX, PRMU) |
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