shapenet topic
graphx-conv
Official implementation of GraphX-Convolution
SPRIN
PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
GPDNet
Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)
GraphCNN-GAN
Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
shrec17
Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track
Multi-Viewpoint-Image-generation
Given an image and a target viewpoint, generate synthetic image in the target viewpoint
morton-net
PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic...
shapeglot
ShapeGlot: Learning Language for Shape Differentiation
depth_renderer
Rendering color and depth images for ShapeNet models.
PVT
PVT: Point-Voxel Transformer for 3D Deep Learning