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Paper Abstract and Keywords
Presentation 2025-03-10 13:37
An Experimental Study on 3D Hair Modeling from Sketches Using Diffusion Curves
Ritsuki Ishiwata (Hosei Univ), Syuhei Sato (Hosei Univ/PCGR)
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we propose a method for generating 3D hair models from sketches. One approach to 3D modeling from a single real-world image is a deep learning-based method that reconstructs 3D hair using a strand map, which represents hair strand directions, and a depth map. This method has the advantage of reconstructing fine details of the hair more accurately compared to conventional approaches. Therefore, we extend this method by replacing the input with a sketch, aiming to reproduce fine and diverse hairstyles that were difficult to achieve with previous sketch-based methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Modeling / Hiar Model / Diffusion Curves / Sketch / Deep learning / / /  
Reference Info. ITE Tech. Rep., vol. 49, pp. 102-105, March 2025.
Paper #  
Date of Issue 2025-03-03 (AIT) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2025-03-10 - 2025-03-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Polytechnic Univ. (Nakano) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2025 
Paper Information
Registration To IIEEJ 
Conference Code 2025-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Experimental Study on 3D Hair Modeling from Sketches Using Diffusion Curves 
Sub Title (in English)  
Keyword(1) Modeling  
Keyword(2) Hiar Model  
Keyword(3) Diffusion Curves  
Keyword(4) Sketch  
Keyword(5) Deep learning  
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1st Author's Name Ritsuki Ishiwata  
1st Author's Affiliation Hosei University (Hosei Univ)
2nd Author's Name Syuhei Sato  
2nd Author's Affiliation Hosei University/Prometech CG Research (Hosei Univ/PCGR)
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Speaker Author-1 
Date Time 2025-03-10 13:37:00 
Presentation Time 12 minutes 
Registration for IIEEJ 
Paper # AIT2025-67 
Volume (vol) vol.49 
Number (no) no.10 
Page pp.102-105 
#Pages
Date of Issue 2025-03-03 (AIT) 


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