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Paper Abstract and Keywords
Presentation 2023-05-19 09:35
Free-viewpoint Omnidirectional Image Synthesis for Large Scenes
Fuma Yasue, Kazutoshi Akita, Norimichi Ukita (TTI) PRMU2023-8
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, Neural Radiance Fields (NeRF) have been attracting attention as a method for arbitrary viewpoint image generation, because NeRF enables ray rendering by modeling a 3D space with neural fields. On the other hand, however, learning and rendering a large scene with NeRF is difficult and computationally expensive. In particular, scenes related to omnidirectional images, such as those used in this study, are outdoor or whole indoor scenes, which are wider than the scenes for a single object used in general NeRF, making these problems even more pronounced. Experimental results show that the proposed method has a wider range of viewpoint movement than the conventional method and is superior to NeRF in representing long distances. The computational cost of the proposed method is also lower than that of NeRF.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural Radiance Field / Free-viewpoint image generation / Omnidirectional image / Virtual Reality / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 30, PRMU2023-8, pp. 39-44, May 2023.
Paper # PRMU2023-8 
Date of Issue 2023-05-11 (PRMU) 
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)
Download PDF PRMU2023-8

Conference Information
Committee PRMU IPSJ-CVIM  
Conference Date 2023-05-18 - 2023-05-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2023-05-PRMU-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Free-viewpoint Omnidirectional Image Synthesis for Large Scenes 
Sub Title (in English)  
Keyword(1) Neural Radiance Field  
Keyword(2) Free-viewpoint image generation  
Keyword(3) Omnidirectional image  
Keyword(4) Virtual Reality  
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1st Author's Name Fuma Yasue  
1st Author's Affiliation Toyota Technological Institute (TTI)
2nd Author's Name Kazutoshi Akita  
2nd Author's Affiliation Toyota Technological Institute (TTI)
3rd Author's Name Norimichi Ukita  
3rd Author's Affiliation Toyota Technological Institute (TTI)
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Speaker Author-1 
Date Time 2023-05-19 09:35:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2023-8 
Volume (vol) vol.123 
Number (no) no.30 
Page pp.39-44 
#Pages 6 
Date of Issue 2023-05-11 (PRMU) 

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