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#

point-clouds

Here are 137 public repositories matching this topic...

[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling

  • UpdatedSep 26, 2025
  • Python

nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees

  • UpdatedDec 26, 2025
  • C++

A fast and robust point cloud registration library

  • UpdatedDec 9, 2025
  • C++

An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics

  • UpdatedOct 29, 2025
  • C++

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

  • UpdatedOct 16, 2025
  • C++

pyntcloud is a Python library for working with 3D point clouds.

  • UpdatedJan 28, 2026
  • Python
convolutional_occupancy_networksopenscene

[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies

  • UpdatedOct 27, 2023
  • Python
labelCloud

A lightweight tool for labeling 3D bounding boxes in point clouds.

  • UpdatedNov 9, 2025
  • Python

My awesome point cloud labeling tool

  • UpdatedMar 19, 2025
  • C++

Python implementation of SLAM algorithm Stereo-PTAM

  • UpdatedJan 9, 2018
  • Python

Virtual Sparse Convolution for Multimodal 3D Object Detection

  • UpdatedMar 13, 2024
  • Python

🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"

  • UpdatedMay 17, 2024
  • Python
Toronto-3D

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

  • UpdatedOct 30, 2025

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)

  • UpdatedJul 30, 2022
  • Python

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

  • UpdatedJun 1, 2023
  • C++
OcCo

[ICCV '21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"

  • UpdatedJun 24, 2024
  • Python

Accurate, detailed, and automatic modelling of laser-scanned trees

  • UpdatedJun 30, 2025
  • C++

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