tsunghan-wu / RandLA-Net-pytorchLinks
Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
☆146Updated 3 years ago
Alternatives and similar repositories for RandLA-Net-pytorch
Users that are interested in RandLA-Net-pytorch are comparing it to the libraries listed below
Sorting:
- RandLA-Net's implementation with Pytorch☆135Updated 5 years ago
- PyTorch implementation of RandLA-Net☆395Updated 3 years ago
- SQN in Tensorflow (ECCV'2022)☆116Updated 2 years ago
- [CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation☆84Updated 2 years ago
- RandLA-Net改进版☆39Updated 3 years ago
- 3D点云语义分割汇总，所有顶会论文以及一些arxiv上的最新论文☆124Updated last year
- 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022)☆436Updated 2 years ago
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆156Updated last year
- Pytorch Reimplementation of RandLA-Net for S3DIS and Semantickitti☆47Updated 7 months ago
- A more easy-to-use implementation of KPConv☆80Updated 3 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆408Updated 2 years ago
- Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)☆218Updated 3 years ago
- OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark☆437Updated 3 months ago
- A PyTorch implementation of the paper “VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection"☆61Updated 6 years ago
- Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)☆110Updated 4 years ago
- A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways☆258Updated last year
- The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).☆348Updated 2 years ago
- ☆11Updated 3 years ago
- Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)☆407Updated 4 years ago
- Official source code of Fast Point Transformer, CVPR 2022☆290Updated 2 years ago
- Python 3.6, Tensorflow 2.6, CUDA 11.4 and cudnn in RTX 3090☆43Updated 3 years ago
- Our PyTorch implementation of RandLA-Net (https://github.com/QingyongHu/RandLA-Net)☆30Updated 3 years ago
- FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding☆118Updated 2 years ago
- Implementation for Panoptic-PolarNet (CVPR 2021)☆179Updated 4 years ago
- PVT: Point-Voxel Transformer for 3D Deep Learning☆93Updated 3 years ago
- An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.☆78Updated 3 years ago
- [CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration☆290Updated 4 years ago
- Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)☆404Updated 5 months ago
- ☆10Updated last year
- Pytorch framework for doing deep learning on point clouds.☆249Updated 3 years ago