PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
#计算机科学#Pytorch framework for doing deep learning on point clouds.
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
Semantic3D segmentation with Open3D and PointNet++
#计算机科学#Autoencoder for Point Clouds
#计算机科学#PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
#计算机科学#Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
Grid-GCN for Fast and Scalable Point Cloud Learning
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
#计算机科学#A Simple Point Cloud Registration Network based on PointNet.
#计算机科学#Keras implementation for Pointnet
#计算机科学#A 3D plane detection approach using PointNet
#计算机科学#Pointnet++ modules implemented as tensorflow 2 keras layers.
Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds
#计算机科学#This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
#计算机科学#utilizing PointNet+ PCL for object detection, classification and pose estimation from point clouds
PAPC is a deep learning for point clouds platform based on pure PaddlePaddle
A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.
#计算机科学#AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)