adrienPoulenard / MDGCNN
Multi Directional Geodesic Convolutional Neural Networks
☆33Updated 4 years ago
Related projects: ⓘ
- Wrapper for Mikhail Belkin et. al's Pointcloud LB operator. Not dependent on PCL☆11Updated 10 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆44Updated 4 years ago
- Neurips 2020 paper on weakly supervised deep functional maps for shape matching☆25Updated 3 years ago
- ☆81Updated 3 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆87Updated last year
- ☆40Updated 2 years ago
- Implementation of Efficient Deformable Shape Correspondence via Kernel Matching (https://arxiv.org/abs/1707.08991).☆47Updated 6 years ago
- An implementation of the Functional Map framework for finding correspondences between Meshes, Images or Graphs.☆36Updated 7 years ago
- Demo for paper 'Consistent ZoomOut: Efficient Spectral Map Synchronization' (SGP 2020).☆15Updated 4 years ago
- ☆90Updated 5 years ago
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆33Updated 3 years ago
- Learnable Deformations Among 3D Shapes.☆63Updated 3 years ago
- a pytorch extension for learning point clouds☆35Updated 4 years ago
- ☆27Updated 11 months ago
- Simple dependency free Python library for the Heat Kernel Signature on triangle meshes☆31Updated 4 years ago
- code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"☆34Updated 4 years ago
- ☆51Updated 4 years ago
- Sample code for Fast Sinkhorn Filters - from CVPR 2021☆18Updated 3 years ago
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 3 years ago
- ☆44Updated 5 years ago
- code and data associated with the paper "Unsupervised Deep Learning for Structured Shape Matching"☆50Updated 3 years ago
- This repository contains the code of our O-CNN paper.☆38Updated 5 years ago
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆24Updated 8 months ago
- Implementation of Complex Functional Maps☆15Updated last year
- A zero-shot segmentation framework for 3D shapes.☆37Updated last year
- This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".☆62Updated 3 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆87Updated 3 years ago
- Code for "Variational Autoencoders for Deforming 3D Mesh Models", CVPR 2018☆27Updated 4 months ago
- Code for the paper "Learning shape correspondence with anisotropic convolutional neural networks"☆30Updated 6 years ago
- ☆55Updated last year