2021
PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks
CVPR 2021poster
The effectiveness of learning-based point cloud upsampling pipelines heavily relies on the upsampling modules and feature extractors used therein. For the point upsampling module, we propose a novel model called NodeShuffle, which uses a Graph Convolutional Network (GCN) to better encode local point…