pytorch version of PointConv
☆298Nov 19, 2020Updated 5 years ago
Alternatives and similar repositories for pointconv_pytorch
Users that are interested in pointconv_pytorch are comparing it to the libraries listed below
Sorting:
- ☆497Oct 1, 2019Updated 6 years ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)☆267Oct 15, 2021Updated 4 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆426Sep 30, 2021Updated 4 years ago
- Kernel Point Convolution implemented in PyTorch☆874Oct 17, 2025Updated 4 months ago
- DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)☆119Sep 30, 2021Updated 4 years ago
- Kernel Point Convolutions☆775Feb 23, 2021Updated 5 years ago
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.☆212Jan 17, 2020Updated 6 years ago
- ☆1,819May 20, 2022Updated 3 years ago
- Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)☆217Dec 3, 2020Updated 5 years ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,769Mar 21, 2025Updated 11 months ago
- Grid-GCN for Fast and Scalable Point Cloud Learning☆185Mar 19, 2020Updated 5 years ago
- PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.☆4,725Apr 24, 2024Updated last year
- CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"☆132Nov 3, 2021Updated 4 years ago
- Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019☆249Aug 11, 2022Updated 3 years ago
- A PyTorch implemetation of PointCNN (CS294-131 Course Proj)☆223Apr 27, 2018Updated 7 years ago
- ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics☆87Oct 3, 2019Updated 6 years ago
- Pytorch framework for doing deep learning on point clouds.☆2,690Feb 23, 2026Updated last week
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆392Jun 25, 2023Updated 2 years ago
- 🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey☆1,631Jun 8, 2021Updated 4 years ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆799Oct 29, 2022Updated 3 years ago
- PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889☆70Jul 9, 2020Updated 5 years ago
- [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds☆127Aug 10, 2020Updated 5 years ago
- PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)☆1,428Sep 3, 2021Updated 4 years ago
- Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".☆135Jan 24, 2021Updated 5 years ago
- ☆26Oct 3, 2023Updated 2 years ago
- Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'☆178Apr 3, 2019Updated 6 years ago
- Code for the ECCV 2020 paper: Detail Preserved Point Cloud Completion via Separated Feature Aggregation☆61Jun 13, 2022Updated 3 years ago
- A list of papers and datasets about point cloud analysis (processing)☆4,206May 19, 2023Updated 2 years ago
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,510Jul 11, 2023Updated 2 years ago
- 3D Point Capsule Networks☆294Aug 1, 2022Updated 3 years ago
- JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds, AAAI2020☆105Jan 9, 2020Updated 6 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆443Jul 25, 2024Updated last year
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆305Dec 25, 2023Updated 2 years ago
- Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation☆98Dec 5, 2020Updated 5 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆676Apr 12, 2022Updated 3 years ago
- PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.☆161Dec 24, 2020Updated 5 years ago
- Autoencoder for Point Clouds☆435Oct 8, 2023Updated 2 years ago
- Pytorch kernels for spatial operations on point clouds☆102Jan 19, 2026Updated last month