Statistics for topic point-cloud
RepositoryStats tracks 598,735 Github repositories, of these 430 are tagged with the point-cloud topic. The most common primary language for repositories using this topic is Python (256). Other languages include: C++ (95), Jupyter Notebook (11)
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OpenMMLab's next-generation platform for general 3D object detection.
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
A curated list of awesome links and software libraries that are useful for robots.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
"Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (ECCV 2024)
A curated list of awesome links and software libraries that are useful for robots.
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
OpenMMLab's next-generation platform for general 3D object detection.
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.
Every authored resources 📦 (premium or open-access) to learn 3D Data Science.
3DGS-to-PC: Convert a 3D gaussian splatting scene into a dense point cloud or basic mesh with advanced customisation options and high-accuracy rendered point colours
[Under Review] Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression
Every authored resources 📦 (premium or open-access) to learn 3D Data Science.
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.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Every authored resources 📦 (premium or open-access) to learn 3D Data Science.
3DGS-to-PC: Convert a 3D gaussian splatting scene into a dense point cloud or basic mesh with advanced customisation options and high-accuracy rendered point colours
Official dataset and code for "ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling" and "MOVIN: Real-time Motion Capture using a Single LiDAR"
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.
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
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 or basic mesh with advanced customisation options and high-accuracy rendered point colours