🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

ROS & ROS2 Implementation of Patchwork++

A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).

3D点云语义分割汇总，所有顶会论文以及一些arxiv上的最新论文

A C++ version for "A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles" 2018 ITSC

This is the official repository of the original Point Transformer architecture.

Fast Segmentation of 3D Point Clouds A Paradigm on LiDAR Data for Autonomous Vehicle Applications

Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)

[ICRA 2024] Official Implementation of the paper "Parameter-efficient Prompt Learning for 3D Point Cloud Understanding"

The four major frameworks for 3D point cloud sparse acceleration, which are currently mainstream, are compared. These include MIT-HAN-LAB's torchsparse, NVIDIA's MinkowskiEngine, TuSimple's spconv, and Facebook Research's SparseConvNet.

Extended Kalman Filter and Deep Learning to detect vehicles from RGB and LiDAR data (Sensor Fusion and Tracking project of the Udacity Self-Driving Car Engineer Nanodegree Program)

This is the implementation of Recycle Maxpooling Module for Point Cloud Analysis

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

A tutorial for learning the knowledge and techniques about 3D point clouds.

Paper on 3D Point Cloud Processing

A PyTorch implementation of Point Transformer that can handle the input data in batch mode.

[AAAI 2025] 3DPGS: 3D Probabilistic Graph Search for Archaeological Piece Grouping

3D Scene Reconstruction Based on Stereo Vision.

Official code for the NeurIPS 2024 paper "Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need"

3D point cloud data (npy file) plot(viewer) in python and mayavi.