Alternatives and similar repositories for deep_marching_cubes

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

• YueJiang-nj / CVPR2020-SDFDiff
  SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
  ☆284Updated 5 years ago
• B1ueber2y / DIST-Renderer
  DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).
  ☆222Updated 4 years ago
• czq142857 / BSP-NET-original
  Tensorflow 1.15 implementation of BSP-NET, along with other scripts used in our paper.
  ☆200Updated 4 years ago
• laughtervv / DISN
  DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
  ☆309Updated 4 years ago
• davidstutz / mesh-fusion
  Python tool for obtaining watertight meshes using TSDF fusion.
  ☆232Updated last year
• Xharlie / DISN
  (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
  ☆184Updated 3 years ago
• cvlab-epfl / MeshSDF
  Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight
  ☆235Updated 3 years ago
• dimatura / binvox-rw-py
  Python module to read and write .binvox files.
  ☆243Updated 5 years ago
• lmb-freiburg / ogn
  Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
  ☆156Updated 5 years ago
• czq142857 / BSP-NET-pytorch
  PyTorch 1.2 implementation of BSP-NET.
  ☆185Updated 3 years ago
• fwilliams / deep-geometric-prior
  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
  ☆138Updated last year
• JustusThies / PyMarchingCubes
  Marching cubes with and without color interpolation, and edge subsampling.
  ☆186Updated 2 years ago
• jchibane / if-net
  Implicit Feature Network (IF-Net) - Codebase
  ☆318Updated last year
• nv-tlabs / DefTet
  Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)
  ☆180Updated last year
• yifita / DSS
  Differentiable Surface Splatting
  ☆446Updated 2 years ago
• czq142857 / IM-NET
  The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
  ☆164Updated 4 years ago
• xiumingzhang / GenRe-ShapeHD
  Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)
  ☆296Updated 4 years ago
• amosgropp / IGR
  Implicit Geometric Regularization for Learning Shapes
  ☆422Updated 3 years ago
• hjwdzh / TextureNet
  TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
  ☆96Updated 6 years ago
• JonasSchult / dcm-net
  This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Co…
  ☆125Updated 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
• vsitzmann / deepvoxels
  ☆234Updated 5 years ago
• jnypan / TMNet
  This repository contains the code for the paper "Deep Mesh Reconstruction from Single RGB Images ".
  ☆76Updated 5 years ago
• czq142857 / BAE-NET
  The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".
  ☆70Updated 4 years ago
• lmb-freiburg / what3d
  What Do Single-view 3D Reconstruction Networks Learn?
  ☆100Updated 5 years ago
• nitika-verma / FeaStNet
  FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
  ☆58Updated 6 years ago
• ThibaultGROUEIX / 3D-CODED
  Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`
  ☆323Updated 3 years ago
• martinResearch / DEODR
  A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
  ☆379Updated 8 months ago
• yifita / deep_cage
  code for "Neural Cages for Detail-Preserving 3D Deformations"
  ☆175Updated 4 years ago