zhangyk18 / GeoBi-GNNLinks
The implementation of a mesh denoising paper accepted by CAD
☆17Updated 2 years ago
Alternatives and similar repositories for GeoBi-GNN
Users that are interested in GeoBi-GNN are comparing it to the libraries listed below
Sorting:
- Mesh denoising with graph convolutional networks☆59Updated 2 years ago
- ☆13Updated last year
- Laplacian2Mesh: Laplacian-Based Mesh Understanding☆56Updated last year
- Subdivision-based Mesh Convolutional Networks.☆285Updated last year
- Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"☆149Updated 2 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆89Updated 5 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆142Updated last year
- ☆64Updated 4 years ago
- [NeurIPS 2022] Non-rigid Point Cloud Registration with Neural Deformation Pyramid☆214Updated last year
- Implicit Geometric Regularization for Learning Shapes☆438Updated 4 years ago
- Non-Local Low-Rank Normal Filtering for Mesh Denoising☆17Updated 4 years ago
- Code base of ParSeNet: ECCV 2020.☆139Updated 5 years ago
- Deep Implicit Moving Least-Squares Functions for 3D Reconstruction☆137Updated 3 years ago
- Chamfer Distance in Pytorch with f-score☆375Updated 5 years ago
- (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆186Updated 4 years ago
- Geometric deep learning for surface parsing from 3-D triangular meshes☆139Updated 2 years ago
- ☆53Updated 4 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆175Updated 2 years ago
- Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)☆86Updated 2 years ago
- This is the official implementation for "Deep Magnification-Flexible Upsampling over3D Point Clouds".☆13Updated 4 years ago
- Implementation of the Chamfer Distance as a module for PyTorch☆185Updated 3 years ago
- prototype code for neural subdivision☆134Updated 2 years ago
- ☆24Updated last year
- 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
- Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)☆132Updated 4 years ago
- Learning Normal Orientation For Point Clouds [SIGGRAPH 2021]☆28Updated 3 years ago
- [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver☆631Updated 3 years ago
- ☆18Updated 5 years ago
- Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces☆78Updated last year
- Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight☆242Updated 4 years ago