Popular GitHub Repositories for Pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Pytorch framework for doing deep learning on point clouds.

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

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

Semantic3D segmentation with Open3D and PointNet++

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

Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds

This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

New distributional and shape attacks on neural networks that process 3D point cloud data.

Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.

3D generative design with deep learning

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

The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)

TF2 implementation of PointNet Classifier and PointNet Part Segmentation using point clouds

Code to support a study of the use of PointNet as classifier of cones in the perception system of a Formula Student car.

Point Cloud Segmentation Using PointNet