NVIDIA / MinkowskiEngineLinks
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
☆2,690Updated last year
Alternatives and similar repositories for MinkowskiEngine
Users that are interested in MinkowskiEngine are comparing it to the libraries listed below
Sorting:
- Spatial Sparse Convolution Library☆2,072Updated 6 months ago
- [MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.☆1,358Updated 3 months ago
- Pytorch framework for doing deep learning on point clouds.☆2,603Updated 4 months ago
- Submanifold sparse convolutional networks☆2,120Updated last year
- PyTorch implementation of Pointnet2/Pointnet++☆1,651Updated 3 months ago
- Deep Hough Voting for 3D Object Detection in Point Clouds☆1,724Updated 3 years ago
- An extension of Open3D to address 3D Machine Learning tasks☆2,056Updated 2 months ago
- This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"☆1,612Updated last year
- ☆2,014Updated last year
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆665Updated 3 years ago
- ☆1,739Updated 3 years ago
- Kernel Point Convolution implemented in PyTorch☆835Updated 6 months ago
- Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral), PPT (CVPR'24), …☆2,218Updated last month
- PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)☆1,406Updated 3 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆817Updated 2 months ago
- 🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey☆1,610Updated 4 years ago
- Kernel Point Convolutions☆748Updated 4 years ago
- pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.005…☆2,263Updated 2 years ago
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space☆3,382Updated 2 years ago
- A PyTorch Library for Accelerating 3D Deep Learning Research☆4,798Updated last week
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,421Updated last year
- Point Transformers☆694Updated last year
- An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.☆1,442Updated 2 months ago
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆1,209Updated last month
- code for Mesh R-CNN, ICCV 2019☆1,157Updated 6 months ago
- Implementation of the Point Transformer layer, in Pytorch☆599Updated 3 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆899Updated last year
- A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!☆1,573Updated last year
- Learning Continuous Signed Distance Functions for Shape Representation☆1,464Updated 3 years ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆466Updated 2 years ago