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Paper Abstract and Keywords
Presentation 2026-03-24 16:00
Generating Consistent and High-Fidelity Visual Guides from Text Manuals using Video Diffusion Models
Shun Okamoto, Satoshi Iizuka, Kazuhiro Fukui (Tsukuba Univ.) PRMU2025-52
Abstract (in Japanese) (See Japanese page) 
(in English) Generating visual guides from textual manuals is useful in daily situations. However, existing methods struggle to produce high-quality sequences while maintaining both step faithfulness and cross-image consistency. We propose InstructionCrafter, a new framework built on a video diffusion model, to achieve step faithfulness, cross-image consistency, and high visual quality. Our approach introduces an efficient training strategy and lightweight modules that improve temporal reasoning and instruction understanding without degrading per-frame quality. Specifically, we freeze spatial layers to preserve the generative prior, and add two adapters: Consistent Adapter to capture relations across multi-step instructions, and Context-Aware Temporal Adapter to inject contextual cues into temporal modeling across frames. Experiments show that InstructionCrafter achieves superior overall performance in terms of step faithfulness, cross-image consistency, and visual quality.
Keyword (in Japanese) (See Japanese page) 
(in English) Video Diffusion Models / Visual Guides / Image Synthesis / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 424, PRMU2025-52, pp. 57-62, March 2026.
Paper # PRMU2025-52 
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 PRMU2025-52

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 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Generating Consistent and High-Fidelity Visual Guides from Text Manuals using Video Diffusion Models 
Sub Title (in English)  
Keyword(1) Video Diffusion Models  
Keyword(2) Visual Guides  
Keyword(3) Image Synthesis  
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1st Author's Name Shun Okamoto  
1st Author's Affiliation University of Tsukuba (Tsukuba Univ.)
2nd Author's Name Satoshi Iizuka  
2nd Author's Affiliation University of Tsukuba (Tsukuba Univ.)
3rd Author's Name Kazuhiro Fukui  
3rd Author's Affiliation University of Tsukuba (Tsukuba Univ.)
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Speaker Author-1 
Date Time 2026-03-24 16:00:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2025-52 
Volume (vol) vol.125 
Number (no) no.424 
Page pp.57-62 
#Pages 6 
Date of Issue 2026-03-17 (PRMU) 

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