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Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
時間 2020-12-30
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發表自TPAMI2019。會議的版本發表在CVPR2017(Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution)。 主要的工作:在多金字塔層漸進地重建高分辨率圖像的子帶殘差,直接從低分辨率輸入特徵提取特徵,使用了Charbonnier損失函數(可以更好地處理異常值),使用遞歸層去共享金字塔層內和層間的參數。
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