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)
  ☆180Updated last year
• davidstutz / mesh-fusion
  Python tool for obtaining watertight meshes using TSDF fusion.
  ☆232Updated last year
• B1ueber2y / DIST-Renderer
  DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).
  ☆222Updated 4 years ago
• YueJiang-nj / CVPR2020-SDFDiff
  SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
  ☆283Updated 5 years ago
• amosgropp / IGR
  Implicit Geometric Regularization for Learning Shapes
  ☆420Updated 3 years ago
• nmwsharp / learned-triangulation
  Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020
  ☆114Updated 4 years ago
• ZhengZerong / DeepImplicitTemplates
  Implementation of "Deep Implicit Templates for 3D Shape Representation"
  ☆167Updated 4 years ago
• czq142857 / IM-NET
  The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
  ☆164Updated 4 years ago
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆202Updated last year
• JustusThies / PyMarchingCubes
  Marching cubes with and without color interpolation, and edge subsampling.
  ☆186Updated 2 years ago
• czq142857 / BSP-NET-pytorch
  PyTorch 1.2 implementation of BSP-NET.
  ☆185Updated 2 years ago
• zekunhao1995 / DualSDF
  DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20
  ☆142Updated 2 years ago
• alexeybokhovkin / DeepSDF
  "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)
  ☆53Updated 6 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆90Updated 4 years ago
• Xharlie / DISN
  (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
  ☆184Updated 3 years ago
• czq142857 / NMC
  PyTorch implementation for paper Neural Marching Cubes.
  ☆167Updated last year
• jchibane / ndf
  Neural Unsigned Distance Fields (NDF) - Codebase
  ☆198Updated 3 years ago
• fwilliams / deep-geometric-prior
  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
  ☆137Updated last year
• vsitzmann / metasdf
  Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
  ☆142Updated 4 years ago
• RobinMagnet / pyFM
  Python implementation of Functional Maps
  ☆123Updated 3 months ago
• haidongz-usc / Curriculum-DeepSDF
  Implementation for Curriculum DeepSDF
  ☆88Updated 5 years ago
• czq142857 / IM-NET-pytorch
  PyTorch 1.2 implementation of IM-NET.
  ☆204Updated 2 years ago
• MIT-SPARK / PD-MeshNet
  Primal-Dual Mesh Convolutional Neural Networks
  ☆113Updated 3 years ago
• yifita / DSS
  Differentiable Surface Splatting
  ☆446Updated 2 years ago
• autonomousvision / shape_as_points
  [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
  ☆616Updated 3 years ago
• yccyenchicheng / AutoSDF
  ☆244Updated 2 years ago
• google / ldif
  3D Shape Representation with Local Deep Implicit Functions.
  ☆320Updated last year
• EnyaHermite / PicassoPlus
  Geometric deep learning for surface parsing from 3-D triangular meshes
  ☆133Updated last year
• microsoft / DIF-Net
  Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021
  ☆126Updated 2 years ago
• yiyiliao / deep_marching_cubes
  Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018
  ☆258Updated 2 years ago