Interactive PointNet++ workshop for point cloud deep learning. Train a deep learning model to classify 3D shapes, visualize features. GPU-optimized Jupyter notebook.

GraspNet and Pointnet2/PointNet++ PyTorch Upgrade (v1.7.1 -> v1.13.1)

Code for "An end-to-end deep learning solution for automated LiDAR tree detection in the urban environment", Rice et al. 2025

This is a repository of the code used in the "Midline-Constrained Loss in the Anatomical Landmark Segmentation of 3D Liver Models" paper from MIUA 2025

Applying RandAugment on PointNet++

PyTorch implementation of Pointnet2/Pointnet++

3D bounding box prediction using Point Cloud and RGB image | Models: Transformer, Multimodal(PointNet++, ResNet), PointNet++

This repo is implementation for PointNet and PointNet++ for binary (0 or 1) in pytorch.

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

Code and Data for the paper "LPF-Defense: 3D Adversarial Defense based on Frequency Analysis", PLoS ONE

A pytorch implementation of PointNet and PointNet++

[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation

Semantic3D segmentation with Open3D and PointNet++

MSc thesis work conducted @ MBZUAI. The work was presented and published at VISAPP 2023 conference.

Pytorch implementation of PointNeXt

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Implementation of PointNet

Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning