torch-points3d / torch-points-kernelsLinks
Pytorch kernels for spatial operations on point clouds
☆98Updated 5 months ago
Alternatives and similar repositories for torch-points-kernels
Users that are interested in torch-points-kernels are comparing it to the libraries listed below
Sorting:
- PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889☆67Updated 5 years ago
- ☆66Updated 4 years ago
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆255Updated 4 years ago
- Official implementation of YOGO for point-cloud processing☆79Updated 3 years ago
- Implementation of ECCV2020 paper - JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds☆128Updated 4 years ago
- A learned sampling approach for point clouds (CVPR 2019)☆179Updated last year
- SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral☆77Updated 3 years ago
- This is a C++ Inteface of MinkowskiNet☆15Updated 5 years ago
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.☆207Updated 5 years ago
- Implementation of Popular Deep Learning Network using pytorch☆56Updated 4 years ago
- ☆192Updated 4 years ago
- ☆134Updated 4 years ago
- CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"☆131Updated 3 years ago
- [CVPR 2020] MLCVNet: Multi-Level Context VoteNet for 3D Object Detection☆123Updated 3 years ago
- Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation☆99Updated 4 years ago
- PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.☆152Updated 4 years ago
- Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)☆216Updated 4 years ago
- ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics☆87Updated 5 years ago
- DepthContrast self-supervised learning for 3D☆272Updated 3 years ago
- Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)☆109Updated 4 years ago
- PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)☆263Updated 3 years ago
- ☆52Updated 4 years ago
- Code for the paper: Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations☆50Updated 4 years ago
- [NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning☆35Updated 2 years ago
- Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"☆160Updated 7 months ago
- ☆207Updated last year
- Grid-GCN for Fast and Scalable Point Cloud Learning☆184Updated 5 years ago
- MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences (ICCV 2019 Oral)☆151Updated 3 years ago
- Geometry Sharing Network for 3D Point Cloud Classification and Segmentation☆51Updated 5 years ago
- JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds, AAAI2020☆102Updated 5 years ago