Noise robust chi-square generative adversarial network
Aiming at the obvious difference of image quality generated by generative adversarial network under different noises,a chi-square generative adversarial network (CSGAN) was proposed.Combing the advantages of quantification sensitivity and sparse invariance,the chi-square divergence was introduced to...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Chinês |
| 出版事項: |
Editorial Department of Journal on Communications
2020-03-01
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| シリーズ: | Tongxin xuebao |
| 主題: | |
| オンライン･アクセス: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020041/ |
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