Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network 摘要 近來，基於深層神經網絡的幾種模型在單像超分辨率的重構精度和計算性能方面取得了巨大的成功。在這些方法中，低分辨率 （LR） 輸入圖像在重建之前使用單個濾波器（通常是雙三次插值）
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相關文章
- 1. 【論文閱讀】Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel......
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