nicolas-chaulet / torch-points3d
Pytorch framework for doing deep learning on point clouds.
☆235Updated 3 years ago
Alternatives and similar repositories for torch-points3d:
Users that are interested in torch-points3d are comparing it to the libraries listed below
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆391Updated 2 years ago
- Kernel Point Convolution implemented in PyTorch☆822Updated 4 months ago
- PyTorch implementation of RandLA-Net☆370Updated 3 years ago
- Pytorch implementation of PCT: Point Cloud Transformer☆370Updated 3 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆415Updated 8 months ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆343Updated 8 months ago
- Kernel Point Convolutions☆743Updated 4 years ago
- Implementation of PCN(Point Completion Network) in PyTorch.☆175Updated 2 years ago
- This is an unofficial implementation of the Point Transformer paper.☆560Updated 2 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆380Updated last year
- [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds☆375Updated last year
- RandLA-Net's implementation with Pytorch☆130Updated 4 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆862Updated last year
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆687Updated 6 months ago
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey☆208Updated 2 years ago
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆342Updated 3 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆791Updated 3 weeks ago
- Point Transformers☆678Updated last year
- pytorch version of PointConv☆282Updated 4 years ago
- A PyTorch Implementation of Pointnet++.☆104Updated 4 years ago
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆434Updated 5 months ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆528Updated 2 months ago
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆591Updated 3 weeks ago
- Contrastive Boundary Learning for Point Cloud Segmentation (CVPR2022)☆149Updated last year
- ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)☆133Updated 5 months ago
- Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)☆133Updated 2 years ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆456Updated 2 years ago
- Official source code of Fast Point Transformer, CVPR 2022☆284Updated 2 years ago
- [CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration☆284Updated 3 years ago
- [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration☆742Updated last year