A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing
ICCV-2017 摘要 本文提出了一種利用邊緣信息的深度神經網絡結構，用於處理具有代表性的底層視覺任務，如分層和圖像濾波。與在此上下文中應用的大多數其他深度學習策略不同，我們的方法通過估算邊緣和僅使用層疊的卷積層重構圖像來解決這些具有挑戰性的問題，這樣就不需要手工製作或應用程序特定的圖像處理組件。我們將得到的可轉移管道應用於兩個對邊緣都敏感的問題域，即單個圖像反射去除和圖像平滑。對於前者，採用一
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相關文章
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