antao97 / PointCloudDatasets
3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
☆460Updated 2 years ago
Alternatives and similar repositories for PointCloudDatasets:
Users that are interested in PointCloudDatasets are comparing it to the libraries listed below
- Point Transformers☆685Updated last year
- 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
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆802Updated last month
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆533Updated 3 months ago
- Kernel Point Convolution implemented in PyTorch☆825Updated 4 months ago
- Pytorch framework for doing deep learning on point clouds.☆239Updated 3 years ago
- Kernel Point Convolutions☆745Updated 4 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆696Updated 7 months ago
- Experiments on unsupervised point cloud reconstruction.☆170Updated 2 years ago
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆750Updated 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
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆343Updated 3 years ago
- PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593☆264Updated 2 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆380Updated last year
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆874Updated last year
- pytorch version of PointConv☆284Updated 4 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆384Updated last year
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆368Updated 5 years ago
- Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)☆431Updated 3 years ago
- The official implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (ECCV 2020)☆325Updated last year
- Implementation of PCN(Point Completion Network) in PyTorch.☆176Updated 2 years ago
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆459Updated last year
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆598Updated last month
- PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation☆416Updated 9 months ago
- Official source code of Fast Point Transformer, CVPR 2022☆285Updated 2 years ago
- Implementation of the Point Transformer layer, in Pytorch☆596Updated 3 years ago
- A faster implementation of PointNet++ based on PyTorch.☆497Updated 2 years ago
- Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>☆336Updated 3 years ago
- PyTorch implementation of RandLA-Net☆372Updated 3 years ago