RandLA-Net
Point cloud segmentation
A deep learning framework for efficient semantic segmentation of large-scale 3D point clouds
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
1k stars
31 watching
321 forks
Language: Python
last commit: over 1 year ago
Linked from 2 awesome lists
3d-visioncomputer-visions3dissemantic-segmentationsemantic3dsemantickitti
ly0n/awesome-robotic-tooling
szenergy/awesome-lidarRelated projects:
| Repository | Description | Stars |
|---|---|---|
 peiyunh/opcseg | This project provides an implementation of an algorithm for optimal segmentation of 3D point clouds from LiDAR scans | 23 |
 yangyanli/pointcnn | A deep learning framework for processing 3D point cloud data to extract relevant features for classification and segmentation tasks. | 1,382 |
 matlab-deep-learning/pretrained-salsanext | Provides pre-trained deep learning model for semantic segmentation of 3D point clouds using SalsaNext architecture | 14 |
 zhengpeng7/birefnet | An implementation of a deep learning-based image segmentation model for high-resolution images | 1,319 |
 idegelis/torch-points3d-siamesekpconv | A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. | 31 |
 preritj/segmentation | Deep learning models for semantic segmentation of images | 100 |
 muyang0320/tensorflow-deeplab-resnet-crf | An implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation | 18 |
 hellochick/pspnet-tensorflow | A TensorFlow-based implementation of a semantic segmentation network for image classification tasks | 326 |
 hszhao/pspnet | A PyTorch implementation of a deep learning model for semantic image segmentation | 1,593 |
 fxia22/pointnet.pytorch | This is an implementation of the PointNet algorithm in PyTorch for 3D point cloud classification and segmentation tasks. | 2,149 |
 limhyungtae/patchwork | Develops ground segmentation from 3D point clouds using robust and fast algorithms for autonomous vehicles | 487 |
 hasnainraz/fc-densenet-tensorflow | Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
 nicolas-chaulet/torch-points3d | A PyTorch framework for building and training deep learning models on point clouds. | 219 |
 prbonn/depth_clustering | A fast and robust algorithm to segment 3D point clouds generated by Velodyne sensors into objects. | 1,205 |
 loicland/superpoint_graph | Large-scale point cloud semantic segmentation with graph-structured feature representation | 763 |