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 # |
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Date of Issue |
2022-10-23 (AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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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 |
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(See Japanese page) |
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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 |
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Image editing |
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Image processing |
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Deep learning |
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1st Author's Name |
Satoshi Iizuka |
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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 |
1 |
Date of Issue |
2022-10-23 (AIT) |