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Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network

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 نشر من قبل Zhangkai Ni
 تاريخ النشر 2020
  مجال البحث الهندسة المعلوماتية
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Improving the aesthetic quality of images is challenging and eager for the public. To address this problem, most existing algorithms are based on supervised learning methods to learn an automatic photo enhancer for paired data, which consists of low-quality photos and corresponding expert-retouche



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