Stars
Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].
SIGGRAPH23: Unsupervised Learning of Robust Spectral Shape Matching
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
Bayesian Coherent Point Drift / Domain Elastic Transform
Simple geometry processing and mesh handling library in Python.
Interactive demo of semantic editing of 3D shapes.
Interpolation routines in Pytorch.
An invigorating blend of 3D geometry tools in Python.
Implementation of Complex Functional Maps
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. (ECCV2020)
Implementation of the NeuroMorph method from CVPR 2021.
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
[T-PAMI'22] [Jittor & Pytorch] Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization
Pipeline for putting surface meshes into correspondence
Datasets tested in the paper "Continuous and Orientation-preserving Correspondence via Functional Maps"
Implementation of the NeuroMorph method from CVPR 2021.
Python library for loading and using triangular meshes.
Code for Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations
This is the code for the experiments in the ICCV publication 'Q-Match: Iterative Shape Matching using Quantum annealing' in http://gvv.mpi-inf.mpg.de/projects/QMATCH. You can run the code with D-Wa…
A C++ & Python viewer for 3D data like meshes and point clouds
Some simple Blender scripts for rendering paper figures
This is an implementation of Eurographics 2017 paper 'Fully spectral partial shape matching' using Tensorflow and Pymanopt.