Alternatives and similar repositories for DefTet

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

• czq142857 / NMC
  PyTorch implementation for paper Neural Marching Cubes.
  ☆166Updated last year
• YueJiang-nj / CVPR2020-SDFDiff
  SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
  ☆283Updated 4 years ago
• jchibane / ndf
  Neural Unsigned Distance Fields (NDF) - Codebase
  ☆198Updated 3 years ago
• cvlab-epfl / MeshSDF
  Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight
  ☆236Updated 3 years ago
• B1ueber2y / DIST-Renderer
  DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).
  ☆221Updated 4 years ago
• czq142857 / BSP-NET-pytorch
  PyTorch 1.2 implementation of BSP-NET.
  ☆184Updated 2 years ago
• davidstutz / mesh-fusion
  Python tool for obtaining watertight meshes using TSDF fusion.
  ☆229Updated last year
• czq142857 / NDC
  PyTorch implementation of Neural Dual Contouring.
  ☆242Updated 2 years ago
• microsoft / DualOctreeGNN
  Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations
  ☆140Updated 10 months ago
• yifita / idf
  implicit displacement field
  ☆126Updated 2 years ago
• Colin97 / Point2Mesh
  Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)
  ☆97Updated 4 years ago
• cvlab-epfl / MeshUDF
  Fast and Differentiable Meshing of Unsigned Distance Field Networks
  ☆147Updated 7 months ago
• JustusThies / PyMarchingCubes
  Marching cubes with and without color interpolation, and edge subsampling.
  ☆186Updated 2 years ago
• microsoft / DIF-Net
  Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021
  ☆126Updated 2 years ago
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆201Updated last year
• ZhengZerong / DeepImplicitTemplates
  Implementation of "Deep Implicit Templates for 3D Shape Representation"
  ☆168Updated 3 years ago
• zekunhao1995 / DualSDF
  DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20
  ☆142Updated 2 years ago
• Colin97 / DeepMetaHandles
  DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
  ☆84Updated 2 years ago
• czq142857 / IM-NET
  The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
  ☆164Updated 4 years ago
• princeton-computational-imaging / gensdf
  Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”
  ☆127Updated 2 years ago
• chenweikai / 3PSDF
  ☆66Updated 2 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
• amosgropp / IGR
  Implicit Geometric Regularization for Learning Shapes
  ☆418Updated 3 years ago
• xxlong0 / NeuralUDF
  Volume rendering based surface reconstruction using Unsigned Distance Fields
  ☆287Updated last year
• ThibaultGROUEIX / NeuralJacobianFields
  ☆136Updated last month
• amirhertz / spaghetti
  ☆84Updated 2 years ago
• yiqun-wang / HFS
  HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)
  ☆225Updated 2 years ago
• ashawkey / cubvh
  CUDA Mesh BVH tools.
  ☆195Updated last month
• haidongz-usc / Curriculum-DeepSDF
  Implementation for Curriculum DeepSDF
  ☆88Updated 5 years ago
• nmwsharp / learned-triangulation
  Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020
  ☆113Updated 4 years ago