WangYueFt / dgcnnLinks
☆1,785Updated 3 years ago
Alternatives and similar repositories for dgcnn
Users that are interested in dgcnn are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆789Updated 3 years ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,724Updated 7 months ago
- pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.005…☆2,316Updated 2 years ago
- PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)☆1,426Updated 4 years ago
- Kernel Point Convolution implemented in PyTorch☆864Updated 3 weeks ago
- Pytorch framework for doing deep learning on point clouds.☆2,663Updated this week
- Kernel Point Convolutions☆772Updated 4 years ago
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space☆3,542Updated 3 years ago
- Point Transformers☆714Updated last year
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,490Updated 2 years ago
- A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!☆1,581Updated last year
- Implementation of the Point Transformer layer, in Pytorch☆600Updated 3 years ago
- ☆497Updated 6 years ago
- 🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey☆1,623Updated 4 years ago
- Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs☆790Updated 2 years ago
- This is an unofficial implementation of the Point Transformer paper.☆613Updated 3 years ago
- A faster implementation of PointNet++ based on PyTorch.☆515Updated 2 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆841Updated 4 months ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆427Updated 4 years ago
- Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.☆582Updated 5 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆672Updated 3 years ago
- Pytorch implementation of PCT: Point Cloud Transformer☆391Updated 3 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆957Updated last year
- Autoencoder for Point Clouds☆438Updated 2 years ago
- pytorch version of PointConv☆297Updated 4 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆573Updated 9 months ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆493Updated 3 years ago
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors☆2,815Updated last year
- PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593☆270Updated 2 years ago
- PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.☆4,550Updated last year