QingyongHu / SensatUrbanLinks
π₯Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
β561Updated 3 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-Netβ405Updated 4 years ago
- A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadwaysβ277Updated last month
- Kernel Point Convolutionsβ776Updated 4 years ago
- Large-scale Point Cloud Semantic Segmentation with Superpoint Graphsβ795Updated 2 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentationβ441Updated last year
- Kernel Point Convolution implemented in PyTorchβ870Updated 2 months ago
- Pytorch framework for doing deep learning on point clouds.β262Updated 4 years ago
- RandLA-Net's implementation with Pytorchβ139Updated 5 years ago
- Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)β160Updated 3 years ago
- π₯ Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)β274Updated 2 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)β426Updated 2 years ago
- π₯RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)β1,498Updated 2 years ago
- β193Updated 4 years ago
- SQN in Tensorflow (ECCV'2022)β117Updated 2 years ago
- [ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolutionβ619Updated last year
- Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.β190Updated 2 years ago
- SemanticKITTI API for visualizing dataset, processing data, and evaluating results.β875Updated 8 months ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).β847Updated 5 months ago
- β208Updated 2 years ago
- [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild forβ¦β234Updated last year
- Semantic3D segmentation with Open3D and PointNet++β541Updated last year
- A PyTorch Implementation of Pointnet++.β116Updated 5 years ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Cloudsβ307Updated 2 years ago
- A faster implementation of PointNet++ based on PyTorch.β514Updated 2 years ago
- pytorch version of PointConvβ298Updated 5 years ago
- π₯3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)β398Updated 4 years ago
- 4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)β315Updated 3 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.β428Updated 2 years ago
- Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)β927Updated 2 years ago
- [CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registrationβ301Updated 4 years ago