PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

A PyTorch implemetation of PointCNN (CS294-131 Course Proj)

本项目为2018年山东大学第四届“可视计算”暑期学校无人车小组的DIY项目，参考山东大学提出的基于点云的PointCNN点卷积神经网络，使用KITTI数据集对车辆的点云输入进行语义分割，并就划分出的车辆图像进行三维包装盒的预测，以帮助无人车定位车辆的三维位置。

the official implementation of PointCNN++ (CVPR 2026)

PyTorch implementation of PointCNN model specified in the white paper located here: https://arxiv.org/pdf/1801.07791.pdf

点云数据分类算法，使用Pytorch实现，PointCNN，PointNet

A MXNet implemetation of PointCNN

This repostiory contains the code used in the publication "Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds using two Deep Neural Networks: PointCNN and 3DmFV-Net"

Pytorch implement of PointNet, PointNet++ and PointCNN

A repository for various 3D point cloud networks including PointNet, DGCNN and PointCNN...

implementation of PointCNN with Pytorch

No description available

This work is based on hxdengBerkeley's PointCNN.Pytorch. Many improvements have been done to increase the GPU efficiency and significantly speed up the training process.

The goal is to accurately Identify the vehicle from occluded and incomplete point cloud and a comparation with PointCNN and PointNet and PointNet++ model.

Unofficial PyTorch implementation of PointCNN for segmentation

基于作者的版本修改过了一些实用自己的地方

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Using PointCNN to extract powerline points from AHN dataset

In this paper, we use ModelNet40 (Wu et al., 2015) data provided by Princeton University to explore two of the best-performing point cloud deep learning classification methods, PointNet (Qi et al., 2017b), and PointCNN (Li et al., 2018). We train the models and evaluate their robustness with different kinds of noise data, and data with missing value. In addition, we also modify the structure of PointCNN to improve its performance.

This is a 3D rockfall suscpeptibility modelling (RSM) project. The problem of data-driven RSM at the scale of a single rock slope is treated as a point cloud semamantic segmentation task. The repository includes Tensorflow 2 implementations of PointNet++, PointCNN and DGCNN models.

Spiking-PointCNN

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PointCNN++: Performant Convolution on Native Points

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<This is a temporary repository, Complete will be released soon>

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A repository of PyTorch implementations of 3D neural networks including PointNet, PointNet++, PointCNN

Region-wise pressure estimation using SMPL body mesh features and 3D posture classification with PointNet and PointCNN