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Paper Abstract and Keywords
Presentation 2026-03-24 10:00
[Short Paper] Frequency-Aware Linear-Time Sequence Model for Image Super-Resolution
Reo Kanazawa, Naoshi Kaneko (Tokyo Denki Univ.) PRMU2025-41
Abstract (in Japanese) (See Japanese page) 
(in English) Super-Resolution aims to reconstruct a high-resolution image from a low-resolution input. With the advent of deep learning, numerous CNN- and Transformer-based methods have proposed significant improvements; however, the trade-off between a global receptive field and computational cost remains an open challenge. Recently, Linear-Time Sequence Model such as Mamba and RWKV have attracted attention as promising alternatives due to their efficiency. Nevertheless, these models were originally developed for one-dimensional natural language and still face difficulties in effectively modeling the two-dimensional spatial structure inherent in images. In this paper, we propose a super-resolution method based on Linear-Time Sequence Model RWKV. Our method integrates frequency information into RWKV aiming to enhance spatial representations. Experiments show our method better reconstructs fine details and textures compared with a baseline based on RWKV.
Keyword (in Japanese) (See Japanese page) 
(in English) Super-Resolution / Frequency Domain / Linear-Time Sequence Model / RWKV / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 424, PRMU2025-41, pp. 1-4, March 2026.
Paper # PRMU2025-41 
Date of Issue 2026-03-17 (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 PRMU2025-41

Conference Information
Committee PRMU IPSJ-CVIM IBISML ITE-SIP  
Conference Date 2026-03-24 - 2026-03-25 
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 2026-03-PRMU-CVIM-IBISML-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Frequency-Aware Linear-Time Sequence Model for Image Super-Resolution 
Sub Title (in English)  
Keyword(1) Super-Resolution  
Keyword(2) Frequency Domain  
Keyword(3) Linear-Time Sequence Model  
Keyword(4) RWKV  
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1st Author's Name Reo Kanazawa  
1st Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
2nd Author's Name Naoshi Kaneko  
2nd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
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Speaker Author-1 
Date Time 2026-03-24 10:00:00 
Presentation Time 10 minutes 
Registration for PRMU 
Paper # PRMU2025-41 
Volume (vol) vol.125 
Number (no) no.424 
Page pp.1-4 
#Pages 4 
Date of Issue 2026-03-17 (PRMU) 

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