| Paper Abstract and Keywords |
| Presentation |
2021-12-13 14:50
Latent expression separation using the locality of changes in the real image
Toshiki Hazama (Ritsumeikan Univ.), Masataka Seo (OIT), Yen-Wei Chen (Ritsumeikan Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
GAN, a deep generative model, makes a great contribution to the image generation task. However, one of the problems that is currently insufficient is that it is difficult to predict the correspondence between output and input. On the other hand, there are some types of deformation of the subject image that change locally and cannot be confirmed unless the resolution is above a certain level. From this, in this research, it is considered that the information expressing the deformation of the image is included in the information added when the resolution is increased, and the realization of highly accurate control of the generated image by providing the latent variable corresponding to the resolution. It aims to. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Generative Adversarial Network / Disentanglement / Latent variable / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 45, no. 39, ME2021-95, pp. 29-31, Dec. 2021. |
| Paper # |
ME2021-95 |
| Date of Issue |
2021-12-06 (ME) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME |
| Conference Date |
2021-12-13 - 2021-12-13 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2021-12-ME |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Latent expression separation using the locality of changes in the real image |
| Sub Title (in English) |
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| Keyword(1) |
Generative Adversarial Network |
| Keyword(2) |
Disentanglement |
| Keyword(3) |
Latent variable |
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| 1st Author's Name |
Toshiki Hazama |
| 1st Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
| 2nd Author's Name |
Masataka Seo |
| 2nd Author's Affiliation |
Osaka Institute of Technology (OIT) |
| 3rd Author's Name |
Yen-Wei Chen |
| 3rd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2021-12-13 14:50:00 |
| Presentation Time |
30 minutes |
| Registration for |
ME |
| Paper # |
ME2021-95 |
| Volume (vol) |
vol.45 |
| Number (no) |
no.39 |
| Page |
pp.29-31 |
| #Pages |
3 |
| Date of Issue |
2021-12-06 (ME) |
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