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A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing
时间 2020-12-30
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ICCV-2017 摘要 本文提出了一种利用边缘信息的深度神经网络结构,用于处理具有代表性的底层视觉任务,如分层和图像滤波。与在此上下文中应用的大多数其他深度学习策略不同,我们的方法通过估算边缘和仅使用层叠的卷积层重构图像来解决这些具有挑战性的问题,这样就不需要手工制作或应用程序特定的图像处理组件。我们将得到的可转移管道应用于两个对边缘都敏感的问题域,即单个图像反射去除和图像平滑。对于前者,采用一
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