paschalidoud / mesh_fusion_simpleLinks
A simple Python tool for generating watertight meshes
☆47Updated 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:
- Blender/bpy utilities for paper-ready visualizations of meshes, point clouds and occupancy grids.☆85Updated 6 years ago
- Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)☆58Updated 2 years ago
- Implementation for Curriculum DeepSDF☆88Updated 5 years ago
- implicit displacement field☆127Updated 3 years ago
- ☆89Updated 2 years ago
- GIFS: Neural Implicit Function for General Shape Representation, CVPR 2022☆77Updated last year
- ☆34Updated 3 years ago
- A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)☆93Updated 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
- Fast and Differentiable Meshing of Unsigned Distance Field Networks☆147Updated 4 months ago
- ☆67Updated 3 years ago
- A clean, compact renderer for spherical images of shapenet objects in blender <2.8.☆77Updated 3 years ago
- ☆149Updated 5 months ago
- ☆40Updated 3 years ago
- ☆105Updated 2 years ago
- Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021☆128Updated 2 years ago
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆128Updated 3 years ago
- PyTorch implementation for paper Neural Marching Cubes.☆170Updated 2 years ago
- Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”☆128Updated 2 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☆138Updated 11 months ago
- Implementation of "Deep Implicit Templates for 3D Shape Representation"☆167Updated 4 years ago
- ☆55Updated 3 years ago
- Code release for "Learning Adaptive Hierarchical Cuboid Abstractions of 3D Shape Collections" (SIGGRAPH Asia 2019)☆53Updated 5 years ago
- ☆54Updated 3 years ago
- ☆47Updated 4 years ago
- [CVPR 2022] Official implementation of "Φ-SfT: Shape-from-Template with a Physics-Based Deformation Model"☆38Updated 3 years ago
- Joint Learning of 3D Shape Retrieval and Deformation, CVPR 2021☆53Updated 4 years ago
- [SIGGRAPH Asia 2022] A Neural Galerkin Solver for Accurate Surface Reconstruction☆99Updated 2 years ago