Residual dense network for intensity-guided depth map enhancement
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资源说明:The depth maps captured by sensors always suffer from low resolution and random noise. Recently, by introducing the guidance from the color image, deep convolutional neural network (DCNN) shows significant improvements for depth map enhancement. However, most DCNN-based methods do not make full use of multi-scale guidance from the color image, thereby achieving sub-optimal performances. In this paper, we propose a novel DCNN to progressively reconstruct the high-resolution depth map guided by th
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