#Point-cloud
Showing 60 of 96 repositories tagged #point-cloud, ranked by stars
Point Cloud Library (PCL)
A resource repository for 3D machine learning
OpenMMLab's next-generation platform for general 3D object detection.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. ๐ท
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
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.
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Pytorch framework for doing deep learning on point clouds.
[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
Deep Hough Voting for 3D Object Detection in Point Clouds
Frustum PointNets for 3D Object Detection from RGB-D Data
A lightweight, easy-to-use, and efficient library for processing and rendering 3D data (C++ & Python)
World's first general purpose 3D object detection codebse.
A curated list of awesome links and software libraries that are useful for robots.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Paper reading notes on Deep Learning and Machine Learning
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
โก๏ธThe spatial perception framework for rapidly building smart robots and spaces
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
[TMLR 2025๐ฅ] A survey for the autoregressive models in vision.
Mesh processing library
[ICCV 2025] Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Papers, code and datasets about deep learning for 3D Object Detection.
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
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Implementation of the Point Transformer layer, in Pytorch
Visualization library for rapid prototyping of 3D algorithms [C++, Python]
Learning Implicit Surfaces from Point Clouds (ECCV 2020)
Implementation of the KinectFusion approach in modern C++14 and CUDA
Accompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).
Code for PCN: Point Completion Network in 3DV'18 (Oral)
Python bindings for the Point Cloud Library (PCL)
FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
[ICCV2023] Official Implementation of "UniTR: A Unified and Efficient Multi-Modal Transformer for Birdโs-Eye-View Representation"
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018
Python binding of 3D visualization library Pangolin
[ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
ZED SDK Unity plugin
Official source code of Fast Point Transformer, CVPR 2022
An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
Nexus is a c++/javascript library for creation and visualization of a batched multiresolution mesh
A small Java-based tool for the generation of point cloud visualization datasets according to Cesium 3D Tiles.
A learned sampling approach for point clouds (CVPR 2019)
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)