WeikaiTan / RandLA-NetLinks
Toronto-3D and OpenGF dataset code on RandLA-Net
☆24Updated 2 years ago
Alternatives and similar repositories for RandLA-Net
Users that are interested in RandLA-Net are comparing it to the libraries listed below
Sorting:
- Python 3.6, Tensorflow 2.6, CUDA 11.4 and cudnn in RTX 3090☆49Updated 4 years ago
- PyTorch implementation of RandLA-Net☆411Updated 4 years ago
- Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)☆164Updated 3 years ago
- Pytorch Reimplementation of RandLA-Net for S3DIS and Semantickitti☆60Updated last year
- Individual Tree Extraction from Urban Mobile Laser Scanning Point Clouds Using Deep Pointwise Direction Embedding☆37Updated 4 years ago
- A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways☆292Updated 3 months ago
- The official repository of the OpenTrench3D dataset: A 3D Point Cloud Dataset of Open Trenches for Semantic Segmentation of Underground U…☆15Updated last year
- U-Next☆20Updated 2 years ago
- An algorithm to extract skeletons from discrete point clouds of tree branches collected by terrestrial laser scanners☆15Updated 2 years ago
- Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"☆102Updated last year
- Collect and summarize point cloud sota methods.☆225Updated 5 months ago
- Code for the paper "TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds"☆124Updated 10 months ago
- Pytorch framework for doing deep learning on point clouds.☆263Updated 4 years ago
- ☆16Updated 4 years ago
- RandLA-Net's implementation with Pytorch☆140Updated 5 years ago
- 🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)☆569Updated 3 years ago
- (IEEE TITS 2024) WHU-Railway3D: A Diverse Dataset and Benchmark for Railway Point Cloud Semantic Segmentation☆180Updated 8 months ago
- ☆15Updated 10 months ago
- ☆45Updated 3 years ago
- SQN in Tensorflow (ECCV'2022)☆117Updated 2 years ago
- ☆11Updated 3 years ago
- ☆12Updated 2 years ago
- [CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation☆87Updated 2 years ago
- PointNAT: Large Scale Point Cloud Semantic Segmentation via Neighbor Aggregation with Transformer☆24Updated last year
- LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation☆615Updated 5 months ago
- ☆69Updated last year
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆427Updated 3 years ago
- Individual tree segmentation from LiDAR-derived point clouds☆69Updated 6 years ago
- RandLA-Net改进版☆42Updated 3 years ago
- Kernel Point Convolutions☆775Updated 4 years ago