qq456cvb / Point-Transformers
Point Transformers
☆685Updated last year
Alternatives and similar repositories for Point-Transformers:
Users that are interested in Point-Transformers are comparing it to the libraries listed below
- Pytorch implementation of PCT: Point Cloud Transformer☆375Updated 3 years ago
- This is an unofficial implementation of the Point Transformer paper.☆566Updated 3 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆533Updated 3 months ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆696Updated 7 months ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆874Updated last year
- Kernel Point Convolution implemented in PyTorch☆825Updated 4 months ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆384Updated last year
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆598Updated last month
- Implementation of the Point Transformer layer, in Pytorch☆596Updated 3 years ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆750Updated 2 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆395Updated 2 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆347Updated 9 months ago
- A faster implementation of PointNet++ based on PyTorch.☆497Updated 2 years ago
- pytorch version of PointConv☆284Updated 4 years ago
- Kernel Point Convolutions☆745Updated 4 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆416Updated 9 months ago
- PyTorch implementation of RandLA-Net☆372Updated 3 years ago
- Jittor implementation of PCT:Point Cloud Transformer☆681Updated 3 years ago
- Official source code of Fast Point Transformer, CVPR 2022☆285Updated 2 years ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,631Updated last month
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆538Updated last month
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆336Updated 3 years ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆460Updated 2 years ago
- Pytorch framework for doing deep learning on point clouds.☆239Updated 3 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆802Updated last month
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆459Updated last year
- Implementation of PCN(Point Completion Network) in PyTorch.☆176Updated 2 years ago
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆343Updated 3 years ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆296Updated last year
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆662Updated 3 years ago