uhlmanngroup / pyshot
A Python API for the SHOT descriptor
☆23Updated 3 years ago
Alternatives and similar repositories for pyshot:
Users that are interested in pyshot are comparing it to the libraries listed below
- Coherent Point Drift Networks: Unsupervised Learning of Non-Rigid Point Set Registration (CPD-Net). Lingjing Wang, Xiang Li, Jianchun Ch…☆32Updated 5 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆46Updated 5 years ago
- shape registration☆115Updated 2 years ago
- ☆50Updated 4 years ago
- Cython implementation of Coherent Point Drift (CPD)☆29Updated 11 months ago
- This repository is an implementation of non rigid icp☆83Updated last year
- Implements the ICP (Iterative Closest Points) algorithm for registration of point clouds.☆82Updated 6 years ago
- ☆62Updated 2 years ago
- Toolbox to create manual segmentations and map segmentation results to different resolutions☆29Updated 4 years ago
- SIGGRAPH23: Unsupervised Learning of Robust Spectral Shape Matching☆54Updated 10 months ago
- Python implementation of Functional Maps☆112Updated 3 weeks ago
- C++ implementation of the SHOT 3D descriptor☆64Updated 3 years ago
- Implementation of Efficient Deformable Shape Correspondence via Kernel Matching (https://arxiv.org/abs/1707.08991).☆48Updated 6 years ago
- Code for our paper "Shape-aware surface reconstruction from sparse 3D point-clouds", Medical Image Analysis, 38, 2017.☆16Updated 5 years ago
- SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform (TVCG2020)☆59Updated last month
- Learning Normal Orientation For Point Clouds [SIGGRAPH 2021]☆26Updated 2 years ago
- Go-ICP for globally optimal 3D pointset registration☆127Updated 2 years ago
- Wrapper for Mikhail Belkin et. al's Pointcloud LB operator. Not dependent on PCL☆11Updated 10 years ago
- [NeurIPS 2022] Non-rigid Point Cloud Registration with Neural Deformation Pyramid☆188Updated 2 months ago
- Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"☆145Updated last year
- ☆82Updated 3 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆111Updated 3 years ago
- Code base of ParSeNet: ECCV 2020.☆111Updated 4 years ago
- Registration assignment for Geometry Processing course☆91Updated 2 years ago
- FARM: Functional Automatic Registration Method for 3D Human Bodies☆35Updated 4 years ago
- This repository contains the implementation of my M.Sc. work "Partial Correspondence of 3D Shapes using Properties of the Nearest-Neighbo…☆10Updated 5 years ago
- Multi-Scale Shape Registration with Functional Maps☆23Updated 4 years ago
- code and data associated with the paper "Unsupervised Deep Learning for Structured Shape Matching"☆51Updated 4 years ago
- A fast and robust total curvature estimation method, for both triangle meshes and point clouds.