Alternatives and similar repositories for FRNN:

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

• fwilliams / neural-splines
  Official Implementation of Neural Splines
  ☆93Updated 3 years ago
• mrakotosaon / dse-meshing
  ☆52Updated 3 years ago
• huangjh-pub / neural-galerkin
  [SIGGRAPH Asia 2022] A Neural Galerkin Solver for Accurate Surface Reconstruction
  ☆98Updated 2 years ago
• nmwsharp / neural-implicit-queries
  Queries on neural implicit surfaces via range analysis: ray casting, intersection, closest point, & more. SIGGRAPH 2022 paper. JAX implem…
  ☆175Updated 2 years ago
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆201Updated last year
• mrakotosaon / diff-surface-triangulation
  ☆105Updated 2 years ago
• RaduAlexandru / permutohedral_encoding
  Blazingly fast encoding for neural networks based on permutohedral lattices
  ☆103Updated last year
• cvlab-epfl / MeshSDF
  Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight
  ☆236Updated 3 years ago
• rubenwiersma / deltaconv
  Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
  ☆142Updated last year
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆90Updated 4 years ago
• jsnln / WNNC
  Winding Number Normal Consistency
  ☆33Updated 4 months ago
• davidstutz / bpy-visualization-utils
  Blender/bpy utilities for paper-ready visualizations of meshes, point clouds and occupancy grids.
  ☆82Updated 6 years ago
• jsnln / ParametricGaussRecon
  Parametric Gauss Reconstruction
  ☆79Updated 7 months ago
• SarahWeiii / diso
  Differentiable Iso-Surface Extraction Package (DISO)
  ☆257Updated last week
• fwilliams / deep-geometric-prior
  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
  ☆137Updated last year
• sunyx523 / StEik
  ☆61Updated last year
• houfei0801 / ipsr
  ☆96Updated 2 weeks ago
• davidstutz / mesh-fusion
  Python tool for obtaining watertight meshes using TSDF fusion.
  ☆228Updated last year
• nv-tlabs / DefTet
  Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)
  ☆178Updated last year
• akanimax / thr3ed_atom
  ReLU Fields The Little Non-linearity That Could
  ☆113Updated last year
• EnyaHermite / PicassoPlus
  Geometric deep learning for surface parsing from 3-D triangular meshes
  ☆132Updated last year
• czq142857 / NDC
  PyTorch implementation of Neural Dual Contouring.
  ☆242Updated 2 years ago
• princeton-computational-imaging / gensdf
  Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”
  ☆126Updated 2 years ago
• Andy97 / DeepMLS
  Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
  ☆133Updated 2 years ago
• mabaorui / NeuralPull-Pytorch
  Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
  ☆74Updated last year
• Xrvitd / GCNO
  Code of Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field. ACM Transactions on Graphics (S…
  ☆304Updated 6 months ago
• jchibane / ndf
  Neural Unsigned Distance Fields (NDF) - Codebase
  ☆198Updated 2 years ago
• rgl-epfl / fastsweep
  Efficient Eikonal equation solver using CUDA
  ☆92Updated 3 months ago
• artonson / def
  Official implementation of the SIGGRAPH-2022 paper "DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes"
  ☆51Updated last year
• Gorilla-Lab-SCUT / AnalyticMesh
  An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks
  ☆73Updated 2 years ago