facebookresearch / VCMeshConvLinks
Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoencoders. Although they demonstrate higher precision than traditional methods, they remain unable to capture fine-grained deformations. Furthermore, these methods can only be applied to a template-specific surfac…
☆99Updated 4 years ago
Alternatives and similar repositories for VCMeshConv
Users that are interested in VCMeshConv are comparing it to the libraries listed below
Sorting:
- Code for Mesh Convolution Using a Learned Kernel Basis☆54Updated 3 years ago
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆87Updated 3 years ago
- Official repository for the ICCV 2019 paper "Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learni…☆129Updated 6 years ago
- SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (ICCV-W 2019)☆136Updated 4 years ago
- code for "Neural Cages for Detail-Preserving 3D Deformations"☆180Updated 5 years ago
- ☆160Updated 3 years ago
- KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control☆111Updated 4 years ago
- Learnable Deformations Among 3D Shapes.☆64Updated 4 years ago
- ☆82Updated 4 years ago
- Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021☆127Updated 2 years ago
- PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.☆84Updated 3 years ago
- Pytorch reproduction of the paper "Generating 3D faces using Convolutional Mesh Autoencoders (CoMA)" (ECCV 2018)☆97Updated 5 years ago
- MeshODE: A Robust and Scalable Framework for Mesh Deformation☆103Updated 5 years ago
- ☆94Updated 2 years ago
- code and data associated with the paper "Unsupervised Deep Learning for Structured Shape Matching"☆51Updated 2 months ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆141Updated 2 years ago
- The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".☆164Updated 2 months ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆53Updated 6 years ago
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆128Updated 3 years ago
- This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".☆62Updated 4 years ago
- ☆65Updated 3 years ago
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆25Updated last year
- Official pytorch implementation of DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces☆24Updated 4 years ago
- MeshWalker implementation☆56Updated 4 years ago
- ☆52Updated 5 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆88Updated 4 years ago
- Implementation of the NeuroMorph method from CVPR 2021.☆48Updated 3 years ago
- The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".☆69Updated 2 months ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆114Updated 4 years ago
- Code for 3D Reconstruction of Novel Object Shapes from Single Images paper☆128Updated 3 years ago