PointCNN
Point Cloud Processor
A deep learning framework for processing 3D point cloud data to extract relevant features for classification and segmentation tasks.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
1k stars
56 watching
366 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list
autonomous-drivingclassificationconvolutional-neural-networksdeep-neural-networksmachine-learningpoint-cloudpointcloudroboticsscannetsegmentationshapenet
Related projects:
Repository | Description | Stars |
---|---|---|
| Develops a deep learning model for domain adaptation on 3D point cloud data | 130 |
| A deep learning framework for efficient semantic segmentation of large-scale 3D point clouds | 1,327 |
| A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. | 31 |
| A Python library for processing and manipulating 3D point clouds | 1,422 |
| A set of libraries and sample code for 3D point cloud processing using CUDA. | 584 |
| A PyTorch framework for building and training deep learning models on point clouds. | 224 |
| A deep learning framework for detecting vanishing points in images | 180 |
| This project provides an implementation of an algorithm for optimal segmentation of 3D point clouds from LiDAR scans | 23 |
| A C++ library for efficient processing and analysis of 3D point cloud data | 1,048 |
| Automates classification and labeling of urban 3D point clouds using data fusion and region growing techniques. | 170 |
| This is an implementation of the PointNet algorithm in PyTorch for 3D point cloud classification and segmentation tasks. | 2,175 |
| A modular point cloud matching library used for robot localization and 3D perception in various applications. | 831 |
| Provides pre-trained deep learning model for semantic segmentation of 3D point clouds using SalsaNext architecture | 14 |
| Creates simplified surfaces from dense point clouds using either Delaunay or grid triangulation methods | 10 |
| A deep learning-based approach to classifying satellite image time series using convolutional neural networks. | 149 |