Fast gicpA collection of GICP-based fast point cloud registration algorithms
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Ndt ompMulti-threaded and SSE friendly NDT algorithm
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PclpyPython bindings for the Point Cloud Library (PCL)
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pcljavaA port of the Point Cloud Library (PCL) using Java Native Interface (JNI).
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cloud to mapAlgorithm that converts point cloud data into an occupancy grid
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Depth clustering🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
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PclPoint Cloud Library (PCL)
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Point Cloud FilterScripts showcasing filtering techniques applied to point cloud data.
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Lidar camera calibrationLight-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
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CgalThe public CGAL repository, see the README below
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LiblasC++ library and programs for reading and writing ASPRS LAS format with LiDAR data
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Frustum ConvnetThe PyTorch Implementation of F-ConvNet for 3D Object Detection
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e3dEfficient 3D Deep Learning
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Displaz.jlJulia bindings for the displaz lidar viewer
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3dgnn pytorch3D Graph Neural Networks for RGBD Semantic Segmentation
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ldgcnnLinked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
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3d PointcloudPapers and Datasets about Point Cloud.
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DisplazA hackable lidar viewer
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3DGNNNo description or website provided.
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superpose3dregister 3D point clouds using rotation, translation, and scale transformations.
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Flownet3dFlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
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MeshlabThe open source mesh processing system
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annotateCreate 3D labelled bounding boxes in RViz
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SamplenetDifferentiable Point Cloud Sampling (CVPR 2020 Oral)
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PointCutMixour code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'
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MinkLocMultimodalMinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
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welding-robot30th June, 2019 - 30th June, 2020. Robotics and Machine Intelligence Lab, The Hong Kong Polytechnic University. This work is supported in part by the Chinese National Engineering Research Centre for Steel Construction (Hong Kong Branch) at The Hong Kong Polytechnic University under grant BBV8, in part by the Research Grants Council of Hong Kong …
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SGGpoint[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)
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3D Ground SegmentationA ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter
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3d Bat3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
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Scan2Cap[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
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Vision3dResearch platform for 3D object detection in PyTorch.
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3D object recognitionrecognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method
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Spvnas[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
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DssDifferentiable Surface Splatting
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TorchsparseA high-performance neural network library for point cloud processing.
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DbnetDBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018
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attMPTI[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation
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PcnCode for PCN: Point Completion Network in 3DV'18 (Oral)
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Semantic3dnetPoint cloud semantic segmentation via Deep 3D Convolutional Neural Network
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AsisAssociatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019
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Pointnet2PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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PangolinPython binding of 3D visualization library Pangolin
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Depth-Guided-InpaintingCode for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"
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SpareNetStyle-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
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CupochRobotics with GPU computing
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PointasnlPointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
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MvstudioAn integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.
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Cylinder3dRank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
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Dgcnn.pytorchA PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
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