adrienPoulenard / MDGCNNLinks
Multi Directional Geodesic Convolutional Neural Networks
☆36Updated 5 years ago
Alternatives and similar repositories for MDGCNN
Users that are interested in MDGCNN are comparing it to the libraries listed below
Sorting:
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆89Updated 8 months ago
- ☆82Updated 4 years ago
- Wrapper for Mikhail Belkin et. al's Pointcloud LB operator. Not dependent on PCL☆11Updated 11 years ago
- Simple dependency free Python library for the Heat Kernel Signature on triangle meshes☆34Updated 5 years ago
- Primal-Dual Mesh Convolutional Neural Networks☆114Updated 3 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆138Updated last year
- ☆93Updated 6 years ago
- Source code for CVPR 2018 Oral paper "Surface Networks"☆92Updated 5 years ago
- Neurips 2020 paper on weakly supervised deep functional maps for shape matching☆26Updated 5 years ago
- This repository contains the code of our O-CNN paper.☆39Updated 6 years ago
- Implementation of Efficient Deformable Shape Correspondence via Kernel Matching (https://arxiv.org/abs/1707.08991).☆48Updated 7 years ago
- A collection of spectral descriptors for 3D meshed surfaces☆60Updated 7 years ago
- ☆56Updated 2 years ago
- An implementation of the Functional Map framework for finding correspondences between Meshes, Images or Graphs.☆38Updated 8 years ago
- ☆43Updated 3 years ago
- Learnable Deformations Among 3D Shapes.☆64Updated 4 years ago
- a pytorch extension for learning point clouds☆36Updated 5 years ago
- code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"☆51Updated 5 years ago
- code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"☆36Updated 5 years ago
- Code for "Variational Autoencoders for Deforming 3D Mesh Models", CVPR 2018☆28Updated last year
- FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis☆58Updated 7 years ago
- ☆44Updated 6 years ago
- This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Co…☆127Updated 2 years ago
- Demo for paper 'Consistent ZoomOut: Efficient Spectral Map Synchronization' (SGP 2020).☆17Updated 5 years ago
- Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds vi…☆59Updated 5 years ago
- ☆52Updated 5 years ago
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 4 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆114Updated 4 years ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆53Updated 6 years ago
- MeshODE: A Robust and Scalable Framework for Mesh Deformation☆103Updated 5 years ago