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Paper Abstract and Keywords
Presentation 2021-02-18 17:05
Design Creation with GAN using features that reflect Shape and Material
Shun Matsumura, Kiyoharu Aizawa (UTokyo), Atsushi Honda, Seiji Kurokoshi (DIGISEARCH)
Abstract (in Japanese) (See Japanese page) 
(in English) When designers create a new design, they often refer to the existing design of shapes and materials to create a new design. The purpose of this study is to support such design creation. For this purpose, image data with label information of shape and material is necessary. However, images obtained by retrieval of web pages do not have such labels, so it is not possible to generate images using only the retrieved images. In this study, we define classes of Shape and Material attributes using Self-supervised methods and train each classifier. In synthesis, we aim to synthesize designs with different conditions by training Conditional GAN based on the estimation results of the Shape and Material estimators.
Keyword (in Japanese) (See Japanese page) 
(in English) GAN / Design Creation / Self-supervised learning / / / / /  
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Conference Information
Committee IEICE-IE IEICE-ITS MMS ME AIT  
Conference Date 2021-02-18 - 2021-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IEICE-IE 
Conference Code 2021-02-IE-ITS-MMS-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design Creation with GAN using features that reflect Shape and Material 
Sub Title (in English)  
Keyword(1) GAN  
Keyword(2) Design Creation  
Keyword(3) Self-supervised learning  
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1st Author's Name Shun Matsumura  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Kiyoharu Aizawa  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Atsushi Honda  
3rd Author's Affiliation DIGISEARCH AND ADVERTISING, INC . (DIGISEARCH)
4th Author's Name Seiji Kurokoshi  
4th Author's Affiliation DIGISEARCH AND ADVERTISING, INC . (DIGISEARCH)
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Speaker Author-1 
Date Time 2021-02-18 17:05:00 
Presentation Time 25 minutes 
Registration for IEICE-IE 
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Volume (vol) vol.45 
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