point-cloud-processing 开源项目推荐（75 个）

Yochengliu /awesome-point-cloud-analysis

关于点云分析（处理）的论文和数据集列表

Lewis-Stuart-11 /3DGS-to-PC

3DGS到PC：3D高斯喷溅到密集点云【3D-VAST：ICCVW 2025】

mikeroyal /ISP-Guide

Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.

vvincenttttt /Awesome-3D-Object-Detection

Papers, code and datasets about deep learning for 3D Object Detection.

Colin97 /MSN-Point-Cloud-Completion

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

pglira /simpleICP

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

PRBonn /4DMOS

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)

libLAS /libLAS

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

jiachens /ModelNet40-C

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

tiangexiang /CurveNet

[ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis

coperception /coperception

用于多智能体协作感知的SDK。

princeton-vl /SimpleView

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

ai4ce /DiscoNet

[NeurIPS2021]学习多智能体感知的精炼协作图

qinzheng93 /GraphSCNet

[CVPR2023] Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration

rsasaki0109 /dynamic-3d-object-removal

Numpy-only dynamic object removal for LiDAR point clouds — 3D box crop + temporal filtering. No GPU, no deep learning.

HaochengWan /PVT

PVT: Point-Voxel Transformer for 3D Deep Learning

acschaefer /ple

Probabilistic line extraction from 2-D range scan

enesgokdemir /visualize-point-clouds

Introduction to Point Cloud Processing

codearxiv /PCReconstruct

Point cloud completion tool based on dictionary learning. Takes a PCL point cloud surface and fills in gaps or densifies sparse regions by learning from the various surface features of the cloud. This is done using a variation of the k-SVD dictionary learning algorithm that allows for continuous atoms and dealing with unstructured point cloud da…

zhoujianling /PointCloudUtilities

Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...