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Paper Abstract and Keywords
Presentation 2019-07-19 16:20
A Note on Semantic Evaluation of Images Generated by Text-to-image Generative Adversarial Networks
Rintaro Yanagi, Togo Ren, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) IMQ2019-5 HIP2019-33
Abstract (in Japanese) (See Japanese page) 
(in English) Evaluating the quality of generated images from input sentences is important to verify the effectiveness of text-to-image Generative Adversarial Network (GAN) models. In the evaluation, generated images are evaluated in the view of ``Whether generated images are visually pleasant or not'' and ``Whether generated images represent the content of an input sentence or not''. There are various methods to evaluate the former evaluation but there is not much discussion about the later evaluation. We propose a new evaluation method to evaluate how much the generated images contain the semantic meaning of an input sentence, and verify the quality of generated images. In the proposed method, we generate a sentence from an image generated from an input sentence. We define similarity between the generated sentence and the input sentence as our evaluation value. By utilizing the generated sentence and the input sentence, we can verify the quality of the generated images quantitatively.
Keyword (in Japanese) (See Japanese page) 
(in English) Generative adversarial network / Evaluation metrics / Image-to-text model / Text-to-image model / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 131, IMQ2019-5, pp. 21-24, July 2019.
Paper # IMQ2019-5 
Date of Issue 2019-07-12 (IMQ, HIP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 IMQ HIP  
Conference Date 2019-07-19 - 2019-07-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Satellite Campus, Sapporo City University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Media Quality and Human Information Processing 
Paper Information
Registration To IMQ 
Conference Code 2019-07-IMQ-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Semantic Evaluation of Images Generated by Text-to-image Generative Adversarial Networks 
Sub Title (in English)  
Keyword(1) Generative adversarial network  
Keyword(2) Evaluation metrics  
Keyword(3) Image-to-text model  
Keyword(4) Text-to-image model  
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1st Author's Name Rintaro Yanagi  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Togo Ren  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takahiro Ogawa  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Miki Haseyama  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2019-07-19 16:20:00 
Presentation Time 25 minutes 
Registration for IMQ 
Paper # IMQ2019-5, HIP2019-33 
Volume (vol) vol.119 
Number (no) no.131(IMQ), no.132(HIP) 
Page pp.21-24 
#Pages
Date of Issue 2019-07-12 (IMQ, HIP) 


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