paschalidoud / mesh_fusion_simpleLinks
A simple Python tool for generating watertight meshes
☆49Updated 2 years ago
Alternatives and similar repositories for mesh_fusion_simple
Users that are interested in mesh_fusion_simple are comparing it to the libraries listed below
Sorting:
- Implementation for Curriculum DeepSDF☆88Updated 5 years ago
- Blender/bpy utilities for paper-ready visualizations of meshes, point clouds and occupancy grids.☆86Updated 7 years ago
- Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)☆59Updated 2 years ago
- ☆107Updated 2 years ago
- implicit displacement field☆126Updated 3 years ago
- Fast and Differentiable Meshing of Unsigned Distance Field Networks☆147Updated 6 months ago
- ☆67Updated 3 years ago
- ☆90Updated 2 years ago
- ☆150Updated 7 months ago
- ☆34Updated 4 years ago
- GIFS: Neural Implicit Function for General Shape Representation, CVPR 2022☆77Updated last year
- A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)☆94Updated 3 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆88Updated 4 years ago
- Learnable Deformations Among 3D Shapes.☆64Updated 4 years ago
- Official PyTorch implementation of ICCV 2023 paper: E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Dete…☆24Updated 2 years ago
- ☆40Updated 3 years ago
- [SIGGRAPH Asia 2022] A Neural Galerkin Solver for Accurate Surface Reconstruction☆99Updated 2 years ago
- Open source repository for the code accompanying the paper 'PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations'.…☆23Updated 4 years ago
- ☆48Updated 5 years ago
- ☆54Updated 3 years ago
- PyTorch implementation of differentiable Sphere Tracing / Ray Marching with SDFs (Signed Distance Function) and CSG (Constructive Solid G…☆51Updated 2 years ago
- [CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function☆142Updated last year
- Neural Surface Maps☆67Updated last year
- Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”☆129Updated 3 years ago
- Code accompanying the NeurIPS 2022 paper: "NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos".☆153Updated 2 years ago
- ☆88Updated last year
- A clean, compact renderer for spherical images of shapenet objects in blender <2.8.☆78Updated 4 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆172Updated 2 years ago
- ☆40Updated last year
- [CVPR 2023] ARO-Net: Learning Implicit Fields from Anchored Radial Observations☆16Updated 2 years ago