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Paper Abstract and Keywords
Presentation 2022-03-08 13:50
A Study on 3D Model Generation from a Small Number of Images Using GAN
Haruka Kuriyama, Tadashi Miyosawa (SUWA Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) The goal of this project is to improve work efficiency and reduce costs in the creation of 3D models using "GAN", a machine learning method. By building a system that implements the differentiable renderer and "StyleGAN2", a derivative of GAN, we were able to create a model from a single real photo.
Keyword (in Japanese) (See Japanese page) 
(in English) GAN / 3DModel / Differentiable Renderer / StyleGAN / / / /  
Reference Info. ITE Tech. Rep., vol. 46, no. 10, AIT2022-162, pp. 427-428, March 2022.
Paper # AIT2022-162 
Date of Issue 2022-03-01 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2022-03-08 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2022 
Paper Information
Registration To AIT 
Conference Code 2022-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on 3D Model Generation from a Small Number of Images Using GAN 
Sub Title (in English)  
Keyword(1) GAN  
Keyword(2) 3DModel  
Keyword(3) Differentiable Renderer  
Keyword(4) StyleGAN  
1st Author's Name Haruka Kuriyama  
1st Author's Affiliation SUWA University of Science (SUWA Univ.)
2nd Author's Name Tadashi Miyosawa  
2nd Author's Affiliation SUWA University of Science (SUWA Univ.)
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Speaker Author-1 
Date Time 2022-03-08 13:50:00 
Presentation Time 90 minutes 
Registration for AIT 
Paper # AIT2022-162 
Volume (vol) vol.46 
Number (no) no.10 
Page pp.427-428 
Date of Issue 2022-03-01 (AIT) 

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