There are 4 repositories under pointnet topic.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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++
Autoencoder for Point Clouds
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Keras implementation for Pointnet
A Simple Point Cloud Registration Network based on PointNet.
A 3D plane detection approach using PointNet
Pointnet++ modules implemented as tensorflow 2 keras layers.
Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds
PAPC is a deep learning for point clouds platform based on pure PaddlePaddle
utilizing PointNet+ PCL for object detection, classification and pose estimation from point clouds
This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.
Implementation for our CVPR 2021 oral paper "PointNetLK Revisited".
New distributional and shape attacks on neural networks that process 3D point cloud data.
Chainer implementation of PointNet, PointNet++, KD-Network and 3DContextNework
Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points
PointNet and GCNs for pointcloud classification.
Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.
Caffe Re-implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" [Qi et al., CVPR 2017]
3D generative design with deep learning
GraspNet and Pointnet2/PointNet++ PyTorch Upgrade (v1.7.1 -> v1.13.1)
Unofficial PyTorch implementation of Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation
Label Generation for a Radar Clutter Data Set
Code and Data for the paper "LPF-Defense: 3D Adversarial Defense based on Frequency Analysis", PLoS ONE
Code release for Intensity Harmonization for Airborne LiDAR