Statistics for topic point-cloud
RepositoryStats tracks 629,374 Github repositories, of these 449 are tagged with the point-cloud topic. The most common primary language for repositories using this topic is Python (269). Other languages include: C++ (97), Jupyter Notebook (11)
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Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25), PTv3 (CVPR'24 Oral), PPT (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.
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
[GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
OpenMMLab's next-generation platform for general 3D object detection.
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
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 GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
[TMLR 2025🔥] A survey for the autoregressive models in vision.
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
OpenMMLab's next-generation platform for general 3D object detection.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
🧬 ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
A python package for calculating forest structural metrics from airborne point clouds.
Introducing various sensors to our Gazebo Harmonic simulation
🎉 PyTorch efficient farthest point sampling (FPS) library.
[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
[TMLR 2025🔥] A survey for the autoregressive models in vision.
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
[ICLR 2025] 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.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
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
💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
[ECCV'24] SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
🧬 ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation