qq456cvb / Point-Transformers
Point Transformers
☆674Updated last year
Alternatives and similar repositories for Point-Transformers:
Users that are interested in Point-Transformers are comparing it to the libraries listed below
- This is an unofficial implementation of the Point Transformer paper.☆551Updated 2 years ago
- Pytorch implementation of PCT: Point Cloud Transformer☆367Updated 3 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆522Updated last month
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆666Updated 5 months ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆852Updated last year
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆581Updated last year
- Implementation of the Point Transformer layer, in Pytorch☆595Updated 3 years ago
- Kernel Point Convolution implemented in PyTorch☆816Updated 3 months ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆379Updated last year
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆387Updated 2 years ago
- Kernel Point Convolutions☆738Updated 4 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆332Updated 7 months ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆742Updated 2 years ago
- PyTorch implementation of RandLA-Net☆364Updated 3 years ago
- A faster implementation of PointNet++ based on PyTorch.☆494Updated 2 years ago
- pytorch version of PointConv☆283Updated 4 years ago
- Jittor implementation of PCT:Point Cloud Transformer☆670Updated 3 years ago
- Official source code of Fast Point Transformer, CVPR 2022☆283Updated 2 years ago
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆407Updated 8 months ago
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆522Updated last year
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆453Updated 2 years ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,602Updated this week
- [CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds☆372Updated last year
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆332Updated 3 years ago
- Pytorch framework for doing deep learning on point clouds.☆233Updated 3 years ago
- Implementation of PCN(Point Completion Network) in PyTorch.☆174Updated 2 years ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆294Updated last year
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆452Updated last year
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆341Updated 3 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆775Updated last week