torch-points3d / torch-points-kernels
Pytorch kernels for spatial operations on point clouds
☆97Updated last month
Alternatives and similar repositories for torch-points-kernels:
Users that are interested in torch-points-kernels are comparing it to the libraries listed below
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)☆253Updated 4 years ago
- PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889☆67Updated 4 years ago
- ☆66Updated 4 years ago
- Implementation of Popular Deep Learning Network using pytorch☆56Updated 4 years ago
- PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.☆203Updated 5 years ago
- A learned sampling approach for point clouds (CVPR 2019)☆180Updated 10 months ago
- SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral☆76Updated 3 years ago
- Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)☆107Updated 3 years ago
- Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning☆74Updated last year
- Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"☆159Updated 3 months ago
- RandLA-Net's implementation with Pytorch☆129Updated 4 years ago
- Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation☆98Updated 4 years ago
- [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds☆122Updated 4 years ago
- [NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning☆35Updated 2 years ago
- Implementation of ECCV2020 paper - JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds☆126Updated 4 years ago
- This is a C++ Inteface of MinkowskiNet☆15Updated 4 years ago
- PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.☆146Updated 4 years ago
- [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks☆179Updated 2 years ago
- Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)☆125Updated 3 years ago
- ☆26Updated 2 years ago
- FLOT: Scene Flow Estimation by Learned Optimal Transport on Point Clouds☆101Updated 4 years ago
- SQN in Tensorflow (ECCV'2022)☆109Updated last year
- CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"☆131Updated 3 years ago
- 4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)☆298Updated 2 years ago
- ☆123Updated last year
- Code for the paper: Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations☆50Updated 4 years ago
- Official implementation of YOGO for point-cloud processing☆79Updated 3 years ago
- [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis☆182Updated 3 weeks ago
- [CVPR 2020] Multi Proposal Aggregation for 3D Semantic Instance Segmentation☆74Updated last year
- Progressive Point Cloud Deconvolution Generation Network (PDGN)☆28Updated 3 years ago