LSnyd / MedMeshCNN
Convolutional Neural Network for medical 3D meshes in PyTorch
☆20Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for MedMeshCNN
- Toolbox to create manual segmentations and map segmentation results to different resolutions☆29Updated 4 years ago
- Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoenc…☆96Updated 3 years ago
- Convolutional Neural Network for medical 3D meshes in PyTorch☆17Updated 4 years ago
- Learnable Deformations Among 3D Shapes.☆64Updated 3 years ago
- Code for the SIGGRAPH 2017 paper "Convolutional Neural Networks on Surfaces via Seamless Toric Covers"☆20Updated 5 years ago
- Graph convolutional networks for mesh segmentation on human and object models.☆20Updated 4 years ago
- ☆18Updated 2 years ago
- Code for Mesh Convolution Using a Learned Kernel Basis☆49Updated 2 years ago
- ☆91Updated 2 years ago
- P2P-NET: Bidirectional Point Displacement Net for Shape Transform☆52Updated 4 years ago
- ☆14Updated 2 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…☆120Updated last year
- ☆82Updated 3 years ago
- SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (ICCV-W 2019)☆123Updated 3 years ago
- MeshWalker implementation☆48Updated 3 years ago
- ☆23Updated 2 years ago
- MGCN: Descriptor Learning using Multiscale GCNs (SIGGRAPH 2020)☆39Updated 2 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆79Updated 3 years ago
- Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021☆125Updated last year
- The code for the paper "Building 3D Morphable Models from a Single Scan" (https://arxiv.org/abs/2011.12440).☆17Updated 3 years ago
- The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".☆68Updated 3 years ago
- Pytorch reproduction of the paper "Generating 3D faces using Convolutional Mesh Autoencoders (CoMA)" (ECCV 2018)☆90Updated 4 years ago
- ☆51Updated 4 years ago
- Official implementation of the paper "PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation" (3DV 202…☆21Updated 2 years ago
- 3DN: 3D Deformation Network, CVPR 2019☆104Updated 5 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆83Updated 3 years ago
- Code and datasets for TPAMI 2021 "SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from R…☆48Updated 2 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆106Updated 3 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆89Updated 3 years ago
- Official repository for the ICCV 2019 paper "Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learni…☆125Updated 5 years ago