QingyongHu / SensatUrbanLinks
π₯Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
β536Updated 2 years ago
Alternatives and similar repositories for SensatUrban
Users that are interested in SensatUrban are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of RandLA-Netβ384Updated 3 years ago
- Kernel Point Convolutionsβ748Updated 4 years ago
- A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadwaysβ252Updated last year
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentationβ422Updated 10 months ago
- Kernel Point Convolution implemented in PyTorchβ836Updated 6 months ago
- π₯RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)β1,421Updated last year
- Pytorch framework for doing deep learning on point clouds.β243Updated 3 years ago
- Large-scale Point Cloud Semantic Segmentation with Superpoint Graphsβ775Updated last year
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)β403Updated 2 years ago
- A faster implementation of PointNet++ based on PyTorch.β500Updated 2 years ago
- RandLA-Net's implementation with Pytorchβ134Updated 5 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategiesβ901Updated last year
- Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)β143Updated 3 years ago
- SemanticKITTI API for visualizing dataset, processing data, and evaluating results.β842Updated 2 months ago
- β192Updated 4 years ago
- Semantic3D segmentation with Open3D and PointNet++β536Updated 10 months ago
- [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Cloudsβ383Updated last year
- [ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolutionβ602Updated 11 months ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.β396Updated 2 years ago
- This is an unofficial implementation of the Point Transformer paper.β575Updated 3 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).β817Updated 2 months ago
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.β206Updated 5 years ago
- π₯3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)β395Updated 4 years ago
- Pytorch implementation of PCT: Point Cloud Transformerβ379Updated 3 years ago
- [CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.β550Updated 4 months ago
- β499Updated 5 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)β380Updated last year
- pytorch version of PointConvβ290Updated 4 years ago
- My awesome point cloud labeling toolβ708Updated 3 months ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling οΌCVPR 2020οΌβ263Updated 3 years ago