論文閱讀之《Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network》
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (arxiv, 21 Nov, 2016)這篇文章將對抗學習用於基於單幅圖像的高分辨重建。基於深度學習的高分辨率圖像重建已經取得了很好的效果，其方法是通過一系列低分辨率圖像和與之對應的高分辨率圖像作爲訓練數據，學習一個從低分辨率圖
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相關文章
- 1. 論文閱讀——Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
- 2. 論文解讀《Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network》SRGAN
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- 8. 讀論文Creating Irish Music using a Generative Adversarial Network
- 9. 論文閱讀——《Generative Adversarial Nets》
- 10. Single Image Dehazing via Conditional Generative Adversarial Network