NVIDIA / MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
☆2,432Updated 6 months ago
Related projects: ⓘ
- Submanifold sparse convolutional networks☆2,029Updated 8 months ago
- Pytorch framework for doing deep learning on point clouds.☆2,460Updated last month
- Spatial Sparse Convolution Library☆1,841Updated last month
- [MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.☆1,186Updated last month
- PyTorch implementation of Pointnet2/Pointnet++☆1,487Updated 6 months ago
- pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.005…☆2,110Updated last year
- Deep Hough Voting for 3D Object Detection in Point Clouds☆1,685Updated 2 years ago
- This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"☆1,509Updated last year
- ☆1,619Updated 2 years ago
- 🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey☆1,551Updated 3 years ago
- ☆1,778Updated 4 months ago
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space☆3,065Updated 2 years ago
- An extension of Open3D to address 3D Machine Learning tasks☆1,814Updated last month
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆636Updated 2 years ago
- A curated list of resources on implicit neural representations.☆2,443Updated 7 months ago
- Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR…☆1,488Updated last week
- A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!☆1,499Updated 5 months ago
- Learning Continuous Signed Distance Functions for Shape Representation☆1,378Updated 2 years ago
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation☆4,737Updated 9 months ago
- A list of papers and datasets about point cloud analysis (processing)☆4,034Updated last year
- Kernel Point Convolution implemented in PyTorch☆762Updated last month
- PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)☆1,370Updated 3 years ago
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).☆943Updated 9 months ago
- PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.☆1,712Updated 2 years ago
- 🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)☆1,291Updated last year
- code for Mesh R-CNN, ICCV 2019☆1,128Updated 3 months ago
- A PyTorch Library for Accelerating 3D Deep Learning Research☆4,428Updated 3 weeks ago
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆720Updated last month
- An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.☆1,297Updated last week
- PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.☆3,538Updated 4 months ago