vinits5 / learning3dLinks
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
☆828Updated last month
Alternatives and similar repositories for learning3d
Users that are interested in learning3d are comparing it to the libraries listed below
Sorting:
- Kernel Point Convolution implemented in PyTorch☆845Updated 7 months ago
- Pytorch framework for doing deep learning on point clouds.☆247Updated 3 years ago
- Kernel Point Convolutions☆757Updated 4 years ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆471Updated 2 years ago
- PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593☆266Updated 2 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆730Updated 10 months ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆918Updated last year
- This is an unofficial implementation of the Point Transformer paper.☆590Updated 3 years ago
- Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.☆691Updated 4 years ago
- [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration☆830Updated last year
- Semantic3D segmentation with Open3D and PointNet++☆539Updated last year
- Point Transformers☆700Updated last year
- [CVPR 2020 Oral] A differentiable framework for 3D registration☆531Updated last year
- A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm☆622Updated last year
- A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)☆772Updated 2 years ago
- A curated list of point cloud registration.☆890Updated last year
- RPM-Net: Robust Point Matching using Learned Features (CVPR2020)☆397Updated 2 years ago
- ☆391Updated 2 years ago
- [CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.☆564Updated 5 months ago
- A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!☆1,575Updated last year
- Pytorch framework for doing deep learning on point clouds.☆2,623Updated 5 months ago
- ☆480Updated 6 years ago
- Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)☆436Updated 3 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆381Updated 2 years ago
- CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion☆348Updated 4 years ago
- Pytorch implementation of PCT: Point Cloud Transformer☆383Updated 3 years ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆552Updated 6 months ago
- ☆267Updated 5 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆666Updated 3 years ago
- PyTorch implementation of RandLA-Net☆394Updated 3 years ago