qinzheng93 / GeoTransformerLinks
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
☆903Updated 2 years ago
Alternatives and similar repositories for GeoTransformer
Users that are interested in GeoTransformer are comparing it to the libraries listed below
Sorting:
- [CVPR 2023, BSP] 3D Registration with Maximal Cliques☆531Updated last year
- [CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.☆593Updated 11 months ago
- A curated list of point cloud registration.☆931Updated last year
- [CVPR 2020 Oral] A differentiable framework for 3D registration☆541Updated 2 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆810Updated last month
- Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.☆721Updated 4 years ago
- [CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration☆305Updated 4 years ago
- End-to-end Point Cloud Correspondences with Transformers☆267Updated 2 years ago
- [PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://a…☆273Updated 4 years ago
- RPM-Net: Robust Point Matching using Learned Features (CVPR2020)☆414Updated 3 years ago
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆581Updated last year
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆993Updated 2 years ago
- Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Tra…☆941Updated this week
- Pytorch framework for doing deep learning on point clouds.☆263Updated 4 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆849Updated 7 months ago
- Project page of the paper "Learning general and distinctive 3D local deep descriptors for point cloud registration" published in IEEE T-P…☆171Updated 3 years ago
- Kernel Point Convolution implemented in PyTorch☆874Updated 3 months ago
- ☆170Updated 4 months ago
- [CVPR2020] Learning multiview 3D point cloud registration☆405Updated 5 years ago
- Collect and summarize point cloud sota methods.☆225Updated 4 months ago
- ☆405Updated 3 years ago
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆427Updated 3 years ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆429Updated 2 years ago
- A list of papers about point clouds registration☆451Updated last year
- This is an unofficial implementation of the Point Transformer paper.☆625Updated 3 years ago
- Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.☆707Updated 2 years ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆408Updated last year
- [CVPR 2022, Oral] Learning Partial point cloud matching in Rigid and Deformable scenes☆233Updated 2 years ago
- Implementation of PCN(Point Completion Network) in PyTorch.☆207Updated 3 years ago
- Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.☆113Updated 2 years ago