isl-org / Open3D-MLLinks
An extension of Open3D to address 3D Machine Learning tasks
☆2,225Updated last month
Alternatives and similar repositories for Open3D-ML
Users that are interested in Open3D-ML are comparing it to the libraries listed below
Sorting:
- Pytorch framework for doing deep learning on point clouds.☆2,688Updated 2 weeks ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆850Updated 7 months ago
- 🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey☆1,633Updated 4 years ago
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,510Updated 2 years ago
- pyntcloud is a Python library for working with 3D point clouds.☆1,496Updated last week
- An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.☆1,520Updated 4 months ago
- Semantic3D segmentation with Open3D and PointNet++☆542Updated last year
- Papers and Datasets about Point Cloud.☆2,885Updated last year
- A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm☆651Updated 2 years ago
- A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!☆1,586Updated last year
- A lightweight tool for labeling 3D bounding boxes in point clouds.☆766Updated 3 months ago
- Deep Hough Voting for 3D Object Detection in Point Clouds☆1,747Updated 4 years ago
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors☆2,870Updated last year
- This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"☆1,649Updated 2 years ago
- Python bindings for the Point Cloud Library (PCL)☆452Updated 4 years ago
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), So…☆2,817Updated this week
- ☆2,221Updated 3 months ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,769Updated 10 months ago
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space☆3,601Updated 3 years ago
- pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.005…☆2,341Updated 2 years ago
- A list of papers and datasets about point cloud analysis (processing)☆4,202Updated 2 years ago
- Kernel Point Convolution implemented in PyTorch☆874Updated 3 months ago
- Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Tra…☆945Updated this week
- Python bindings to the pointcloud library (pcl)☆2,054Updated 2 years ago
- Kernel Point Convolutions☆776Updated 4 years ago
- [ECCV'20] Convolutional Occupancy Networks☆897Updated 2 years ago
- PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)☆1,428Updated 4 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆994Updated 2 years ago
- A fast and robust point cloud registration library☆2,208Updated 2 months ago
- Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CP…☆958Updated 4 months ago