Sequential Point Cloud Upsampling by Exploiting Multi-Scale Temporal Dependency
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DOI: 10.1109/tcsvt.2021.3104304
Abstract: In this work, we propose a new sequential point cloud upsampling method called SPU, which aims to upsample sparse, non-uniform, and orderless point cloud sequences by effectively exploiting rich and complementary temporal dependency from multiple… read more here.
Keywords: point cloud; point; temporal dependency; sequential point ... See more keywords