XuyangBai / KPConv.pytorchView external linksLinks
PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
☆71Jul 9, 2020Updated 5 years ago
Alternatives and similar repositories for KPConv.pytorch
Users that are interested in KPConv.pytorch are comparing it to the libraries listed below
Sorting:
- Kernel Point Convolutions☆775Feb 23, 2021Updated 4 years ago
- ☆12Jan 10, 2020Updated 6 years ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)☆267Oct 15, 2021Updated 4 years ago
- Kernel Point Convolution implemented in PyTorch☆874Oct 17, 2025Updated 3 months ago
- Implementation of ECCV2020 paper - JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds☆133Mar 16, 2021Updated 4 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆259Dec 16, 2020Updated 5 years ago
- This project releases the code for the Paper "Going Deeper with Point Networks"☆60Dec 12, 2019Updated 6 years ago
- Grid-GCN for Fast and Scalable Point Cloud Learning☆186Mar 19, 2020Updated 5 years ago
- CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"☆132Nov 3, 2021Updated 4 years ago
- ☆66Mar 6, 2021Updated 4 years ago
- ☆14Apr 18, 2021Updated 4 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆393Jun 25, 2023Updated 2 years ago
- Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)☆427Sep 30, 2021Updated 4 years ago
- Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points☆29Feb 26, 2020Updated 5 years ago
- (ICCV 2021) Learning Inner-group Relations on Point Clouds☆19Oct 8, 2021Updated 4 years ago
- DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)☆120Sep 30, 2021Updated 4 years ago
- ☆497Oct 1, 2019Updated 6 years ago
- ☆117Sep 24, 2020Updated 5 years ago
- Adaptive Graph Convolution for Point Cloud Analysis☆125Oct 28, 2021Updated 4 years ago
- ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics☆87Oct 3, 2019Updated 6 years ago
- End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds (CVPR2020)☆61Jul 25, 2024Updated last year
- pytorch version of PointConv☆299Nov 19, 2020Updated 5 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆443Jul 25, 2024Updated last year
- Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'☆178Apr 3, 2019Updated 6 years ago
- [CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds☆182Jul 8, 2020Updated 5 years ago
- ☆47Jun 14, 2019Updated 6 years ago
- ☆60Jan 14, 2021Updated 5 years ago
- Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)☆413May 19, 2021Updated 4 years ago
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.☆213Jan 17, 2020Updated 6 years ago
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,512Jul 11, 2023Updated 2 years ago
- PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration☆155Nov 1, 2023Updated 2 years ago
- Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds☆91Nov 9, 2019Updated 6 years ago
- Discrete Rotation Equivariance for Point Cloud Recognition. ICRA 2019☆23Apr 1, 2019Updated 6 years ago
- A pytorch implementation of "Dynamic Points Agglomeration for Hierarchical Point Sets Learning" (DPAM) (ICCV2019)☆13Nov 15, 2019Updated 6 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆677Apr 12, 2022Updated 3 years ago
- Unpaired Point Cloud Completion on Real Scans using Adversarial Training☆92Aug 7, 2020Updated 5 years ago
- Implementation of ICCV2021(Oral) paper - VMNet: Voxel-Mesh Network for Geodesic-aware 3D Semantic Segmentation☆101Aug 22, 2022Updated 3 years ago
- Tangent Convolutions for Dense Prediction in 3D☆125Feb 13, 2019Updated 7 years ago
- A learned sampling approach for point clouds (CVPR 2019)☆182May 5, 2024Updated last year