We propose a novel DNN for 3D point set segmentation called Rotation-invariant and Multi-scale feature Graph convolutional neural network, or RMGnet. Our RMGnet is more flexible than the previous ...

StructureNet: Hierarchical Graph Networks for 3D Shape Generation Figure 1. StructureNet is a hierarchical graph network that produces a unified latent space to encode structured models with both ...

The task of 3D semantic scene graph (3D SSG) prediction in the point cloud is challenging since (1) the 3D point cloud only captures geometric structures with limited semantics compared to 2D images, ...

This repository contains a pytorch implementation for the paper GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. Our work present the first framework capable of generating ...