Alternatives and similar repositories for mesh_to_sdf:

Users that are interested in mesh_to_sdf are comparing it to the libraries listed below

• hjwdzh / ManifoldPlus
  ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups
  ☆621Updated last year
• hjwdzh / Manifold
  Convert any Triangle Mesh to Watertight Manifold
  ☆632Updated 4 years ago
• nv-tlabs / nglod
  Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)
  ☆880Updated last year
• facebookresearch / DeepSDF
  Learning Continuous Signed Distance Functions for Shape Representation
  ☆1,434Updated 2 years ago
• ranahanocka / point2mesh
  Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
  ☆1,153Updated last year
• rgl-epfl / differentiable-sdf-rendering
  Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)
  ☆876Updated last year
• HTDerekLiu / BlenderToolbox
  Some simple Blender scripts for rendering paper figures
  ☆709Updated 2 weeks ago
• sxyu / sdf
  Parallelized triangle mesh --> continuous signed distance field on CPU
  ☆454Updated last year
• ErlerPhilipp / points2surf
  Learning Implicit Surfaces from Point Clouds (ECCV 2020)
  ☆476Updated 2 months ago
• wang-ps / mesh2sdf
  Converts an input mesh to a signed distance field (SDF)
  ☆332Updated 5 months ago
• autonomousvision / differentiable_volumetric_rendering
  This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations wit…
  ☆814Updated 3 years ago
• yifita / DSS
  Differentiable Surface Splatting
  ☆445Updated 2 years ago
• autonomousvision / shape_as_points
  [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
  ☆597Updated 2 years ago
• pmneila / PyMCubes
  Marching cubes (and related tools) for Python
  ☆738Updated 8 months ago
• amosgropp / IGR
  Implicit Geometric Regularization for Learning Shapes
  ☆414Updated 3 years ago
• ventusff / neurecon
  Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
  ☆856Updated 3 years ago
• rgl-epfl / large-steps-pytorch
  Implementation of "Large Steps in Inverse Rendering of Geometry"
  ☆412Updated last year
• davidstutz / mesh-voxelization
  C++ implementation for computing occupancy grids and signed distance functions (SDFs) from watertight meshes.
  ☆365Updated 3 years ago
• lioryariv / idr
  ☆712Updated 3 years ago
• christopherbatty / SDFGen
  A simple commandline utility to generate grid-based signed distance field (level set) generator from triangle meshes, using code from Rob…
  ☆786Updated 9 years ago
• nmwsharp / potpourri3d
  An invigorating blend of 3D geometry tools in Python.
  ☆466Updated 3 weeks ago
• facebookresearch / NSVF
  Open source code for the paper of Neural Sparse Voxel Fields.
  ☆812Updated last year
• YueJiang-nj / CVPR2020-SDFDiff
  SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
  ☆280Updated 4 years ago
• sxyu / volrend
  PlenOctree Volume Rendering (supports CUDA & fragment shader backends)
  ☆612Updated 4 months ago
• martinResearch / DEODR
  A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
  ☆373Updated 4 months ago
• czq142857 / NDC
  PyTorch implementation of Neural Dual Contouring.
  ☆236Updated 2 years ago
• cnr-isti-vclab / PyMeshLab
  The open source mesh processing python library
  ☆842Updated this week
• nmwsharp / diffusion-net
  Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
  ☆441Updated 2 years ago
• nv-tlabs / FlexiCubes
  ☆666Updated last year
• fwilliams / point-cloud-utils
  An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
  ☆1,402Updated last month