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Paper Abstract and Keywords
Presentation 2018-01-18 09:30
Generating Video of Human Motion Clone from a Still Image using Shape and Color Refinement Networks
Yusuke Miyawaki, Kazuaki Nakamura, Seiko Myojin, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2017-115 MVE2017-36
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method for generating a video in which a person virtually performs a certain motion that are not performed in the real world. We refer to such motions as {it human motion clone} in this paper. Some existing methods generate a video of human motion clone by the following two steps using a still image called {it target image}, which includes an entire body of the target person, and a {it reference video} in which another person performs the target motion with his/her entire body: First, manipulate the contour of the human region in the target image so that its shape is well matched to that in the reference video. Second, warp the texture of the original target image to the manipulated human region by 2D affine transformations. However, this procedure often yields unnatural results due to inaccurate correspondence between the human contours in the reference video and the target image. Moreover, its texture is sometimes enlarged or reduced too much by misestimated affine transformations. To overcome these problems, the proposed method employs a shape refinement network (SRN), which refines the inaccurate correspondence between the contours, and a color refinement network (CRN), which refines the unsuccessfully warped textures. In our experimental results, distortion of the human contours and the textures appearing in a resultant video is partially improved.
Keyword (in Japanese) (See Japanese page) 
(in English) human motion clone / reference video / target image / Shape Refinement Network / Color Refinement Network / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 392, MVE2017-36, pp. 45-50, Jan. 2018.
Paper # MVE2017-36 
Date of Issue 2018-01-11 (PRMU, MVE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 PRMU2017-115 MVE2017-36

Conference Information
Conference Date 2018-01-18 - 2018-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2018-01-PRMU-MVE-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Generating Video of Human Motion Clone from a Still Image using Shape and Color Refinement Networks 
Sub Title (in English)  
Keyword(1) human motion clone  
Keyword(2) reference video  
Keyword(3) target image  
Keyword(4) Shape Refinement Network  
Keyword(5) Color Refinement Network  
1st Author's Name Yusuke Miyawaki  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Kazuaki Nakamura  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Seiko Myojin  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Naoko Nitta  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Noboru Babaguchi  
5th Author's Affiliation Osaka University (Osaka Univ.)
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Date Time 2018-01-18 09:30:00 
Presentation Time 25 
Registration for MVE 
Paper # IEICE-PRMU2017-115,IEICE-MVE2017-36 
Volume (vol) IEICE-117 
Number (no) no.391(PRMU), no.392(MVE) 
Page pp.45-50 
#Pages IEICE-6 
Date of Issue IEICE-PRMU-2018-01-11,IEICE-MVE-2018-01-11 

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