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Paper Abstract and Keywords
Presentation 2023-03-17 14:05
A Study on Image Inpainting Considering Local Appearance Consistency
Tianxiang Zhang, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2022-77 IE2022-154 MVE2022-107
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an image inpainting method which can preserve the local appearance consistency of reconstructed images, as an improvement of PICNet, an existing image inpainting method.PICNet is composed of two paths based on a VAE-GAN architecture: reconstructive and generative pipelines, and can outputs multiple reconstruction results with various appearances from an input image.The discriminators in both the pipelines, however, have a problem that they evaluate not the local but the global appearances of input images.The proposed method replaces the discriminator in the generative pipeline with SN-PatchGAN, a discriminator evaluating on local features.Also, the proposed method replaces the convolution layers in the SN-PatchGAN with partial convolutions applied only to masked regions.We expect to achieve image inpainting with local appearance consistency by these two improvements.We confirmed the effectiveness of the proposed method against the existing method through quantitative and qualitative evaluations.
Keyword (in Japanese) (See Japanese page) 
(in English) Image inpainting / VAE-GAN / partial convolution / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 440, MVE2022-107, pp. 296-301, March 2023.
Paper # MVE2022-107 
Date of Issue 2023-03-08 (IMQ, IE, MVE) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 IMQ2022-77 IE2022-154 MVE2022-107

Conference Information
Committee IMQ IE MVE CQ  
Conference Date 2023-03-15 - 2023-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawaken Seinenkaikan (Naha-shi) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc(AC) 
Paper Information
Registration To MVE 
Conference Code 2023-03-IMQ-IE-MVE-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Image Inpainting Considering Local Appearance Consistency 
Sub Title (in English)  
Keyword(1) Image inpainting  
Keyword(2) VAE-GAN  
Keyword(3) partial convolution  
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1st Author's Name Tianxiang Zhang  
1st Author's Affiliation Chukyo University (Chukyo Univ.)
2nd Author's Name Keisuke Doman  
2nd Author's Affiliation Chukyo University (Chukyo Univ.)
3rd Author's Name Yoshito Mekada  
3rd Author's Affiliation Chukyo University (Chukyo Univ.)
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Date Time 2023-03-17 14:05:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # IMQ2022-77, IE2022-154, MVE2022-107 
Volume (vol) vol.122 
Number (no) no.437(IMQ), no.439(IE), no.440(MVE) 
Page pp.296-301 
#Pages
Date of Issue 2023-03-08 (IMQ, IE, MVE) 


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