Before revision:  We propose three novel point upsampling modules: Multi-branch GCN, Clone GCN, and NodeShuffle. Our modules use Graph Convolutional Networks (GCNs ) to better encode local point information from the point neighborhood.
After revision:  For the point upsampling module, we propose a novel model called NodeShuffle, which uses a Graph Convolutional Network (GCN ) to better encode local point information from the point neighborhood.