idsia-robotics / RandLA-Net-pytorchLinks
Our PyTorch implementation of RandLA-Net (https://github.com/QingyongHu/RandLA-Net)
☆32Updated 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:
- [CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation☆87Updated 2 years ago
- SQN in Tensorflow (ECCV'2022)☆117Updated 2 years ago
- RandLA-Net's implementation with Pytorch☆140Updated 5 years ago
- Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)☆165Updated 3 years ago
- Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)☆116Updated 4 years ago
- RandLA-Net改进版☆42Updated 3 years ago
- PVT: Point-Voxel Transformer for 3D Deep Learning☆96Updated 3 years ago
- An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.☆83Updated 4 years ago
- Pytorch Reimplementation of RandLA-Net for S3DIS and Semantickitti☆60Updated last year
- Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)☆70Updated last year
- PyTorch implementation of RandLA-Net☆406Updated 4 years ago
- A more easy-to-use implementation of KPConv☆81Updated 3 years ago
- ☆49Updated 5 years ago
- FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding☆119Updated 2 years ago
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey☆213Updated 2 years ago
- Pytorch framework for doing deep learning on point clouds.☆262Updated 4 years ago
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆162Updated 2 years ago
- ☆66Updated last year
- Adaptive Graph Convolution for Point Cloud Analysis☆124Updated 4 years ago
- [TITS2022] 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification☆30Updated 3 years ago
- [CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation☆188Updated 2 years ago
- ☆25Updated 4 years ago
- ☆12Updated 2 years ago
- A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways☆278Updated 2 months ago
- TensorFlow re-implementation of SQN for weakly supervised segmentation on point clouds.☆13Updated 4 years ago
- PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)☆45Updated 3 years ago
- a large-scale building facade point clouds☆21Updated 3 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆427Updated 3 years ago
- Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"☆102Updated last year
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆307Updated 2 years ago