marian42 / mesh_to_sdfLinks
Calculate signed distance fields for arbitrary meshes
☆1,139Updated last year
Alternatives and similar repositories for mesh_to_sdf
Users that are interested in mesh_to_sdf are comparing it to the libraries listed below
Sorting:
- ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups☆661Updated last year
- Convert any Triangle Mesh to Watertight Manifold☆658Updated 5 years ago
- Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]☆1,188Updated last year
- Learning Continuous Signed Distance Functions for Shape Representation☆1,481Updated 3 years ago
- Parallelized triangle mesh --> continuous signed distance field on CPU☆490Updated last year
- Some simple Blender scripts for rendering paper figures☆759Updated 2 months ago
- Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)☆893Updated last year
- Marching cubes (and related tools) for Python☆764Updated last year
- Learning Implicit Surfaces from Point Clouds (ECCV 2020)☆494Updated last week
- [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver☆619Updated 3 years ago
- Converts an input mesh to a signed distance field (SDF)☆366Updated 10 months ago
- This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations wit…☆821Updated 3 years ago
- Implicit Geometric Regularization for Learning Shapes☆423Updated 3 years ago
- Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)☆894Updated 2 years ago
- Differentiable Surface Splatting☆445Updated 3 years ago
- An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.☆1,462Updated 3 months ago
- C++ implementation for computing occupancy grids and signed distance functions (SDFs) from watertight meshes.☆372Updated 3 years ago
- An invigorating blend of 3D geometry tools in Python.☆508Updated last month
- The open source mesh processing python library☆877Updated last week
- 3D Shape Representation with Local Deep Implicit Functions.☆319Updated last year
- Blender Python scripts for rendering images directly from command-line interface☆807Updated last year
- Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.☆454Updated 2 years ago
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).☆954Updated last year
- Implementation of "Large Steps in Inverse Rendering of Geometry"☆425Updated last year
- Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"☆1,266Updated 3 years ago
- PyTorch implementation of Neural Dual Contouring.☆249Updated 2 years ago
- some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!☆315Updated last year
- A list of resources about deep learning solutions on 3D shape processing☆353Updated 3 years ago
- Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.☆534Updated 3 years ago
- SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization☆284Updated 5 years ago