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Paper Abstract and Keywords
Presentation 2022-10-30 14:50
[Invited Talk] Advances in Image Editing Techniques with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba)
Abstract (in Japanese) (See Japanese page) 
(in English) In this presentation, I will introduce how image editing techniques have been developed through deep learning. The methodology for image processing and editing has been actively researched in the fields of computer graphics and computer vision. In particular, deep learning with multi-layer neural networks has recently been applied to this task, enabling complicated image editing based on high-level image features, which is difficult with the previous approaches. I will first give an overview of research on image editing using deep learning and then focus on several specific research examples with more details. The presentation will also give an exposition on previous approaches without deep learning to explain how deep learning has improved these methods. In addition, current problems and future prospects in this field will be discussed.
Keyword (in Japanese) (See Japanese page) 
(in English) Image editing / Image processing / Deep learning / / / / /  
Reference Info. ITE Tech. Rep., vol. 46, pp. 13-13, Oct. 2022.
Paper #  
Date of Issue 2022-10-23 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee IIEEJ AIT  
Conference Date 2022-10-30 - 2022-10-31 
Place (in Japanese) (See Japanese page) 
Place (in English) on line 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IIEEJ 
Conference Code 2022-10-IIEEJ-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Advances in Image Editing Techniques with Deep Learning 
Sub Title (in English)  
Keyword(1) Image editing  
Keyword(2) Image processing  
Keyword(3) Deep learning  
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1st Author's Name Satoshi Iizuka  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2022-10-30 14:50:00 
Presentation Time 40 minutes 
Registration for IIEEJ 
Paper # AIT2022-175 
Volume (vol) vol.46 
Number (no) no.34 
Page p.13 
#Pages
Date of Issue 2022-10-23 (AIT) 


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