qinzheng93 / GeoTransformerLinks
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
☆846Updated last year
Alternatives and similar repositories for GeoTransformer
Users that are interested in GeoTransformer are comparing it to the libraries listed below
Sorting:
- [CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.☆574Updated 7 months ago
- [CVPR 2023, BSP] 3D Registration with Maximal Cliques☆518Updated 10 months ago
- A curated list of point cloud registration.☆902Updated last year
- End-to-end Point Cloud Correspondences with Transformers☆258Updated last year
- [CVPR 2020 Oral] A differentiable framework for 3D registration☆536Updated last year
- Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Tra…☆868Updated 3 weeks ago
- Collect and summarize point cloud sota methods.☆206Updated 3 weeks ago
- [PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://a…☆264Updated 4 years ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆758Updated last year
- [CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration☆295Updated 4 years ago
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆530Updated 11 months ago
- Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.☆702Updated 4 years ago
- RPM-Net: Robust Point Matching using Learned Features (CVPR2020)☆402Updated 3 years ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆937Updated last year
- ☆139Updated 2 weeks ago
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆412Updated 2 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆834Updated 3 months ago
- Project page of the paper "Learning general and distinctive 3D local deep descriptors for point cloud registration" published in IEEE T-P…☆161Updated 3 years ago
- [CVPR2020] Learning multiview 3D point cloud registration☆401Updated 5 years ago
- Pytorch framework for doing deep learning on point clouds.☆255Updated 3 years ago
- Kernel Point Convolution implemented in PyTorch☆856Updated 9 months ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆386Updated last year
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆1,411Updated 2 months ago
- This is an unofficial implementation of the Point Transformer paper.☆604Updated 3 years ago
- SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (CVPR 2022)☆181Updated last year
- Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)☆417Updated 2 years ago
- Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.☆665Updated last year
- [CVPR 2022, Oral] Learning Partial point cloud matching in Rigid and Deformable scenes☆223Updated 2 years ago
- Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.☆110Updated 2 years ago
- [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis☆530Updated last year