Fraunhofer-SCAI / conv_sr_mesh_autoencoderLinks
CoSMA: Convolutional Semi-Regular Mesh Autoencoder. Accepted at WACV 2022
☆22Updated last year
Alternatives and similar repositories for conv_sr_mesh_autoencoder
Users that are interested in conv_sr_mesh_autoencoder are comparing it to the libraries listed below
Sorting:
- Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoenc…☆100Updated 4 years ago
- Code for Mesh Convolution Using a Learned Kernel Basis☆55Updated 3 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆89Updated 5 years ago
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆242Updated 4 years ago
- Learnable Deformations Among 3D Shapes.☆64Updated 5 years ago
- ☆40Updated 4 years ago
- Laplacian2Mesh: Laplacian-Based Mesh Understanding☆56Updated last year
- Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.☆485Updated 3 years ago
- A small project implementing different per-vertex mesh signatures.☆42Updated last year
- Simple dependency free Python library for the Heat Kernel Signature on triangle meshes☆34Updated 5 years ago
- Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"☆146Updated 5 years ago
- Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)☆42Updated 3 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…☆128Updated 3 years ago
- Primal-Dual Mesh Convolutional Neural Networks☆117Updated 4 years ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆53Updated 6 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆85Updated 4 years ago
- PyTorch 1.2 implementation of IM-NET.☆203Updated 6 months ago
- MeshWalker implementation☆55Updated 4 years ago
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆165Updated 6 months ago
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆25Updated 2 years ago
- prototype code for neural subdivision☆134Updated 2 years ago
- Implicit Geometric Regularization for Learning Shapes☆438Updated 4 years ago
- Python implementation of Functional Maps☆142Updated 3 months ago
- Code for 'Mesh Variational Autoencoders with Edge Contraction Pooling'☆34Updated 5 years ago
- SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (ICCV-W 2019)☆138Updated 5 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆115Updated 4 years ago
- Implementation of the Chamfer Distance as a module for PyTorch☆185Updated 3 years ago
- Geometric deep learning for surface parsing from 3-D triangular meshes☆139Updated 2 years ago
- Neural Unsigned Distance Fields (NDF) - Codebase☆201Updated 3 years ago
- DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).☆222Updated 5 years ago