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Paper Abstract and Keywords
Presentation 2023-03-03 14:30
[Tutorial Lecture] On Semantic Image Processing with Autoencoder
Hiroyuki Tsuji (KAIT) SIS2022-58
Abstract (in Japanese) (See Japanese page) 
(in English) Variational Auto Encoder (VAE) has a conceptually well-structured latent space and can realize semantic image manipulation through simple vector operations on the latent space, but on the other hand, it is known to have image quality problems such as blurring in the reconstructed image. Recently, autoencoders that employ generators of deep generative models such as GAN and diffusion models as decoders, combined with encoders that map arbitrary inputs to the latent space, have been proposed to enable high-quality image reconstruction that could not be achieved with VAE.This paper describes the recent trends of Encoder-Generator type autoencoders and semantic image processing using these autoencoders.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep generative model / Autoencoder / VAE / GAN / Duffusion model / Latent space / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 410, SIS2022-58, pp. 97-102, March 2023.
Paper # SIS2022-58 
Date of Issue 2023-02-23 (SIS) 
ISSN 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)
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Conference Information
Committee SIS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Chiba Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIS 
Conference Code 2023-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Semantic Image Processing with Autoencoder 
Sub Title (in English)  
Keyword(1) Deep generative model  
Keyword(2) Autoencoder  
Keyword(3) VAE  
Keyword(4) GAN  
Keyword(5) Duffusion model  
Keyword(6) Latent space  
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1st Author's Name Hiroyuki Tsuji  
1st Author's Affiliation Kanagawa Institute of Technology (KAIT)
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Speaker Author-1 
Date Time 2023-03-03 14:30:00 
Presentation Time 40 minutes 
Registration for SIS 
Paper # SIS2022-58 
Volume (vol) vol.122 
Number (no) no.410 
Page pp.97-102 
#Pages 6 
Date of Issue 2023-02-23 (SIS) 

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