| Paper Abstract and Keywords |
| Presentation |
2023-03-06 10:25
Using Deep Learning to Generate Wall Textures
ekitou chin, Masaki Abe, Taichi Watanabe (TUT) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, the area of image processing and image generation using deep learning has been further developed and applied to various domains. For example, YOLO is good at image recognition, which is often used for medical images, and GAN (Generative Adversarial Network) can generate realistic images. The two are combined to achieve wall texture generation.
The objective of this research is to automatically generate higher quality wall textures using deep learning. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Deep Learning / GAN / Wall textures / U-net / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 47, pp. 175-176, March 2023. |
| Paper # |
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| Date of Issue |
2023-02-27 (AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
AIT IIEEJ AS CG-ARTS |
| Conference Date |
2023-03-06 - 2023-03-06 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tokyo Polytechnic Univ. (Nakano) |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Expressive Japan 2023 |
| Paper Information |
| Registration To |
AS |
| Conference Code |
2023-03-AIT-IIEEJ-AS-ARTS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Using Deep Learning to Generate Wall Textures |
| Sub Title (in English) |
|
| Keyword(1) |
Deep Learning |
| Keyword(2) |
GAN |
| Keyword(3) |
Wall textures |
| Keyword(4) |
U-net |
| Keyword(5) |
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| 1st Author's Name |
ekitou chin |
| 1st Author's Affiliation |
Tokyo University of Technology (TUT) |
| 2nd Author's Name |
Masaki Abe |
| 2nd Author's Affiliation |
Tokyo University of Technology (TUT) |
| 3rd Author's Name |
Taichi Watanabe |
| 3rd Author's Affiliation |
Tokyo University of Technology (TUT) |
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| Speaker |
Author-1 |
| Date Time |
2023-03-06 10:25:00 |
| Presentation Time |
80 minutes |
| Registration for |
AS |
| Paper # |
AIT2023-83 |
| Volume (vol) |
vol.47 |
| Number (no) |
no.9 |
| Page |
pp.175-176 |
| #Pages |
2 |
| Date of Issue |
2023-02-27 (AIT) |