| Presentation | 2020-02-28 Unpaired Learning for Noise-free, Scale Invariant, and Interpretable Image Enhancement Satoshi Kosugi, Toshihiko Yamasaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper tackles unpaired image enhancement, a task of learning a mapping function which transforms input images into enhanced images in the absence of input-output image pairs. Our method is based on generative adversarial networks (GANs), but instead of simply generating images with a neural network, we enhance images utilizing image editing software to achieve noise-free, scale invariant, and interpretable image enhancement. To incorporate image editing software into a GAN, we propose a reinforcement learning framework. We apply the proposed method to photo enhancement and face beautification and demonstrate that the proposed method achieves the best performance. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | image enhancement / unpaired learning / reinforcement learning / generative adversarial network |
| Paper # | ITS2019-52,IE2019-90 |
| Date of Issue | 2020-02-20 (ITS, IE) |
| Conference Information | |
| Committee | ITE-HI / IE / ITS / ITE-MMS / ITE-ME / ITE-AIT |
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| Conference Date | 2020/2/27(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image Processing, etc. |
| Chair | Takehiro Nagai(Tokyo Inst. of Tech.) / / / Norihiko Ishii(NHK) / Norio Tagawa(Tokyo Metropolitan Univ.) / Nobuhiko Mukai(Tokyo Cisy Univ.) |
| Vice Chair | / / / / Hiroyuki Arai(Nippon Institute of Technology) / Hisaki Nate(Tokyo Polytechnic Univ.) |
| Secretary | (NTT) / / / (Fukuoka Univ.) / Hiroyuki Arai(NHK) / Hisaki Nate(NHK) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Group on Human Inormation / Technical Committee on Image Engineering / Technical Committee on Intelligent Transport Systems Technology / Technical Group on Multi-media Storage / Technical Group on Media Engineering / Technical Group on Artistic Image Technology |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Unpaired Learning for Noise-free, Scale Invariant, and Interpretable Image Enhancement |
| Sub Title (in English) | |
| Keyword(1) | image enhancement |
| Keyword(2) | unpaired learning |
| Keyword(3) | reinforcement learning |
| Keyword(4) | generative adversarial network |
| 1st Author's Name | Satoshi Kosugi |
| 1st Author's Affiliation | the University of Tokyo(Univ. of Tokyo) |
| 2nd Author's Name | Toshihiko Yamasaki |
| 2nd Author's Affiliation | the University of Tokyo(Univ. of Tokyo) |
| Date | 2020-02-28 |
| Paper # | ITS2019-52,IE2019-90 |
| Volume (vol) | vol.119 |
| Number (no) | ITS-421,IE-422 |
| Page | pp.pp.311-316(ITS), pp.311-316(IE), |
| #Pages | 6 |
| Date of Issue | 2020-02-20 (ITS, IE) |