Statistics for topic point-cloud
RepositoryStats tracks 584,797 Github repositories, of these 422 are tagged with the point-cloud topic. The most common primary language for repositories using this topic is Python (252). Other languages include: C++ (95), Jupyter Notebook (11)
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OpenMMLab's next-generation platform for general 3D object detection.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
3DGS-to-PC: Convert a 3D gaussian splatting scene into a dense point cloud with advanced customisation options and high-accuracy rendered point colours
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
Autoware 安装运行应用中文教程指南,包含部分关键代码注释。Manuals & Tutorials for Autoware in Chinese.
Code for "Cross-modal Learning for Image-Guided Point Cloud Shape Completion" (NeurIPS 2022)
OpenMMLab's next-generation platform for general 3D object detection.
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
3DGS-to-PC: Convert a 3D gaussian splatting scene into a dense point cloud with advanced customisation options and high-accuracy rendered point colours
A cuda implementation of GPU Poisson Reconstruction.(Data-Parallel Octrees based)
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
[RA-L 2023] Official Repository of "Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization", RA-L, Volume 8, Issue 5, May 2023
Autoware 安装运行应用中文教程指南,包含部分关键代码注释。Manuals & Tutorials for Autoware in Chinese.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
OpenMMLab's next-generation platform for general 3D object detection.
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
3DGS-to-PC: Convert a 3D gaussian splatting scene into a dense point cloud with advanced customisation options and high-accuracy rendered point colours
[NeurIPS 2024 D&B] Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
Autoware 安装运行应用中文教程指南,包含部分关键代码注释。Manuals & Tutorials for Autoware in Chinese.
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
"Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (ECCV 2024)
[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
OpenMMLab's next-generation platform for general 3D object detection.
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
"Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (ECCV 2024)
[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
[ICRA'24] DeFlow: Decoder of Scene Flow Network in Autonomous Driving
💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis