Alternatives and similar repositories for MeshSDF

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

• nv-tlabs / DefTet
  Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)
  ☆183Updated 2 years ago
• alexeybokhovkin / DeepSDF
  "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)
  ☆53Updated 6 years ago
• B1ueber2y / DIST-Renderer
  DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).
  ☆222Updated 5 years ago
• amosgropp / IGR
  Implicit Geometric Regularization for Learning Shapes
  ☆438Updated 4 years ago
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆204Updated 2 years ago
• RobinMagnet / pyFM
  Python implementation of Functional Maps
  ☆142Updated 3 months ago
• davidstutz / mesh-fusion
  Python tool for obtaining watertight meshes using TSDF fusion.
  ☆235Updated 2 years ago
• YueJiang-nj / CVPR2020-SDFDiff
  SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
  ☆286Updated 5 years ago
• czq142857 / NMC
  PyTorch implementation for paper Neural Marching Cubes.
  ☆175Updated 2 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆89Updated 5 years ago
• JustusThies / PyMarchingCubes
  Marching cubes with and without color interpolation, and edge subsampling.
  ☆189Updated 3 years ago
• ZhengZerong / DeepImplicitTemplates
  Implementation of "Deep Implicit Templates for 3D Shape Representation"
  ☆169Updated 4 years ago
• czq142857 / IM-NET
  The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
  ☆165Updated 6 months ago
• dmsm / DeepCurrents
  Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
  ☆59Updated 4 years ago
• google / ldif
  3D Shape Representation with Local Deep Implicit Functions.
  ☆322Updated last year
• vsitzmann / metasdf
  Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
  ☆146Updated 5 years ago
• czq142857 / BSP-NET-pytorch
  PyTorch 1.2 implementation of BSP-NET.
  ☆187Updated 3 years ago
• dmsm / HodgeNet
  Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.
  ☆85Updated 4 years ago
• nmwsharp / learned-triangulation
  Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020
  ☆115Updated 4 years ago
• jchibane / ndf
  Neural Unsigned Distance Fields (NDF) - Codebase
  ☆201Updated 3 years ago
• mrakotosaon / diff-surface-triangulation
  ☆108Updated 3 years ago
• hjwdzh / MeshODE
  MeshODE: A Robust and Scalable Framework for Mesh Deformation
  ☆107Updated 5 years ago
• papagina / MeshConvolution
  Code for Mesh Convolution Using a Learned Kernel Basis
  ☆55Updated 3 years ago
• yiyiliao / deep_marching_cubes
  Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018
  ☆257Updated 2 years ago
• llorz / SGA19_zoomOut
  code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"
  ☆53Updated 6 years ago
• fwilliams / deep-geometric-prior
  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
  ☆142Updated last year
• haidongz-usc / Curriculum-DeepSDF
  Implementation for Curriculum DeepSDF
  ☆88Updated 5 years ago
• gaolinorange / SDMNET_stamp
  ☆40Updated 4 years ago
• lei65537 / Visual_Driven_Mesh_Repair
  Repairing Man-Made Meshes via Visual Driven Global Optimization with Minimum Intrusion
  ☆77Updated last year
• EnyaHermite / PicassoPlus
  Geometric deep learning for surface parsing from 3-D triangular meshes
  ☆139Updated 2 years ago