Xrvitd / GCNOLinks
Code of Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field. ACM Transactions on Graphics (SIGGRAPH 2023).
☆316Updated last year
Alternatives and similar repositories for GCNO
Users that are interested in GCNO are comparing it to the libraries listed below
Sorting:
- ☆103Updated 7 months ago
- Parametric Gauss Reconstruction☆84Updated last year
- Code of RFEPS: Reconstructing Feature-line Equipped Polygonal Surface. ACM Transactions on Graphics, SIGGRAPH Asia 2022 Paper.☆69Updated last year
- PyTorch implementation of Neural Dual Contouring.☆270Updated 3 years ago
- Converts an input mesh to a signed distance field (SDF)☆398Updated last month
- Differentiable Iso-Surface Extraction Package (DISO)☆310Updated 8 months ago
- Finding Good Configurations of Planar Primitives, CVPR2022. Code from https://team.inria.fr/titane/software/☆48Updated 3 years ago
- Code release for "3D reconstruction with fast dipole sums"☆79Updated 11 months ago
- Official code for the paper Coverage Axis: Inner Point Selection for 3D Shape Skeletonization, Eurographics 2022.☆105Updated 4 months ago
- NeurCADRecon: Neural Representation for Reconstructing CAD Surfaces by Enforcing Zero Gaussian Curvature☆89Updated last year
- Winding Number Normal Consistency☆49Updated last year
- The code of paper "Structure–Aware Surface Reconstruction via Primitive Assembly" (ICCV2023)☆35Updated 3 weeks ago
- Fixed Radius Nearest Neighbor Search on GPU☆192Updated last year
- [ECCV 2024] Concise Plane Arrangements for Low-Poly Surface and Volume Modelling☆37Updated 8 months ago
- Mesh tools.☆260Updated last week
- Python tool for obtaining watertight meshes using TSDF fusion.☆235Updated 2 years ago
- A cuda implementation of GPU Poisson Reconstruction.(Data-Parallel Octrees based)☆49Updated last week
- Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction (IEEE Transactions on Visualization and Com…☆28Updated last year
- HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)☆227Updated 3 years ago
- Proof-of-concept surface reconstruction experiments to explore the design space for volumetric opaque solids.☆76Updated last year
- ☆64Updated 4 years ago
- Code of Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian. ACM Transaction…☆34Updated 2 years ago
- Official implementation for "DMesh: A Differentiable Representation for General Meshes" (NeurIPS 2024)☆314Updated last year
- Code for SIGGRAPH 2022 paper: ComplexGen: CAD Reconstruction by B-Rep Chain Complex Generation☆125Updated 2 months ago
- Official implementation of the SIGGRAPH-2022 paper "DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes"☆58Updated 2 years ago
- Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations☆146Updated last year
- PyTorch implementation for paper Neural Marching Cubes.☆175Updated 2 years ago
- Repository for TetWeave: Isosurface Extraction using On-The-Fly Delaunay Tetrahedral Grids for Gradient-Based Mesh Optimization (SIGGRAPH…☆113Updated 7 months ago
- [SIGGRAPH Asia 2022] Differentiable Point-Based Radiance Fields for Efficient View Synthesis☆131Updated 3 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆182Updated 2 years ago