mit-han-lab / torchsparseLinks
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
☆1,426Updated 9 months ago
Alternatives and similar repositories for torchsparse
Users that are interested in torchsparse are comparing it to the libraries listed below
Sorting:
- Spatial Sparse Convolution Library☆2,202Updated last year
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors☆2,841Updated last year
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆673Updated 3 years ago
- [ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution☆618Updated last year
- Point Transformers☆719Updated last year
- Kernel Point Convolution implemented in PyTorch☆871Updated 2 months ago
- Code & Models for 3DETR - an End-to-end transformer model for 3D object detection☆689Updated 3 years ago
- This is an unofficial implementation of the Point Transformer paper.☆621Updated 3 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆978Updated 2 years ago
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆1,579Updated last month
- Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), So…☆2,706Updated 2 weeks ago
- Submanifold sparse convolutional networks☆2,138Updated last year
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆425Updated 2 years ago
- Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)☆927Updated 2 years ago
- Kernel Point Convolutions☆776Updated 4 years ago
- A faster implementation of PointNet++ based on PyTorch.☆514Updated 2 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆402Updated last year
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆660Updated 9 months ago
- Pytorch framework for doing deep learning on point clouds.☆2,678Updated last week
- pytorch knn [cuda version]☆311Updated 4 years ago
- OctFormer: Octree-based Transformers for 3D Point Clouds [SIGGRAPH 2023]☆342Updated last month
- This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"☆1,635Updated 2 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆580Updated 10 months ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆845Updated 5 months ago
- Implementation of the Point Transformer layer, in Pytorch☆601Updated 3 years ago
- tutorial for writing custom pytorch cpp+cuda kernel, applied on volume rendering (NeRF)☆417Updated 2 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆428Updated 2 years ago
- [ECCV'20] Convolutional Occupancy Networks☆894Updated 2 years ago
- Official source code of Fast Point Transformer, CVPR 2022☆293Updated 2 years ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,753Updated 9 months ago