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Paper Abstract and Keywords
Presentation 2023-02-22 13:15
Semantic-Consistent Style Transfer with Visual Transformers
Jianbo Wang (UTokyo), Huan Yang, Jianlong Fu (MSR), Toshihiko Yamasaki (UTokyo), Baining Guo (MSR) ITS2022-68 IE2022-85
Abstract (in Japanese) (See Japanese page) 
(in English) Image style transfer has drawn increasing attention recently. This task takes a content image and a style image as inputs and generates an output image with the desired style while preserving the structure from the content image. However, most existing approaches adopt a global feature transformation to transfer style patterns into content images (e.g., AdaIN and WCT). Such a design usually destroys the spatial information of the input images and fails to keep semantic consistency between the content image and the stylized results. To solve this problem, we propose a novel STyle TRansformer (STTR) network which breaks both content and style images into visual tokens to achieve a fine-grained style transformation. Specifically, two attention mechanisms are adopted in our STTR. We first propose to use self-attention to encode content and style tokens such that similar tokens can be grouped and learned together. We then adopt cross-attention between content and style tokens that encourages fine-grained style transformations. As similar patches lean to match with the same style code, semantic-consistent style transfer can be obtained. To compare STTR with existing approaches, we conduct user studies on Amazon Mechanical Turk (AMT), which are carried out with 50 human subjects with 1,000 votes in total. Extensive evaluations demonstrate the effectiveness and efficiency of the proposed STTR in generating visually pleasing style transfer results
Keyword (in Japanese) (See Japanese page) 
(in English) image style transfer / visual transformer / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 385, IE2022-85, pp. 147-152, Feb. 2023.
Paper # IE2022-85 
Date of Issue 2023-02-14 (ITS, IE) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee IE ITS ITE-MMS ITE-ME ITE-AIT  
Conference Date 2023-02-21 - 2023-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2023-02-IE-ITS-MMS-ME-AIT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Semantic-Consistent Style Transfer with Visual Transformers 
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Keyword(1) image style transfer  
Keyword(2) visual transformer  
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1st Author's Name Jianbo Wang  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Huan Yang  
2nd Author's Affiliation Mircrosoft Research (MSR)
3rd Author's Name Jianlong Fu  
3rd Author's Affiliation Mircrosoft Research (MSR)
4th Author's Name Toshihiko Yamasaki  
4th Author's Affiliation The University of Tokyo (UTokyo)
5th Author's Name Baining Guo  
5th Author's Affiliation Mircrosoft Research (MSR)
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Date Time 2023-02-22 13:15:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2022-68, IE2022-85 
Volume (vol) vol.122 
Number (no) no.384(ITS), no.385(IE) 
Page pp.147-152 
#Pages
Date of Issue 2023-02-14 (ITS, IE) 


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