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View-volume Network for Semantic Scene Completion from a Single Depth Image
[article]
2018
arXiv
pre-print
We introduce a View-Volume convolutional neural network (VVNet) for inferring the occupancy and semantic labels of a volumetric 3D scene from a single depth image. The VVNet concatenates a 2D view CNN and a 3D volume CNN with a differentiable projection layer. Given a single RGBD image, our method extracts the detailed geometric features from the input depth image with a 2D view CNN and then projects the features into a 3D volume according to the input depth map via a projection layer. After
arXiv:1806.05361v1
fatcat:tyrnqajs6rcajol2zxsurmuvxi