Pointcloud Collection

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🔥Fire

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“Open3D: A Modern Library for 3D Data Processing”

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🔥Fire

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“Point Cloud Library (PCL)”

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🔮Psychic

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“PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.”

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⚡Electric

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“A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.”

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🔥Fire

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“3D CAD viewer and converter based on Qt + OpenCascade”

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⚡Electric

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“Web labeling tool for bitmap images and point clouds”

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🔥Fire

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“Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.”

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🔮Psychic

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“Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.”

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🔮Psychic

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“PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)”

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📦Normal

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“😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.”

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⚡Electric

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“A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data”

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🔮Psychic

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“Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]”

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🔥Fire

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“loam code noted in Chinese（loam中文注解版）”

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💻Normal

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“[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies”

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🔥Fire

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“Efficient and parallel algorithms for point cloud registration [C++, Python]”

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🔮Psychic

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“Latent Point Diffusion Models for 3D Shape Generation”

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💎Aqua

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“3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling”

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🔥Fire

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“Mesh processing library”