Alternatives and similar repositories for TilinGNN

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

• dmsm / DeepParametricShapes
  Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.
  ☆54Updated 4 years ago
• maxjiang93 / DDSL
  DDSL: Deep Differential Simplex Layer for Neural Networks
  ☆56Updated 4 years ago
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆88Updated 10 months ago
• AnIntroductionToDeepLearningOnMeshes / tutorials
  ☆28Updated 4 years ago
• tiangeluo / Learning-to-Group
  A zero-shot segmentation framework for 3D shapes.
  ☆38Updated 2 years ago
• peisuke / ImplicitGeometricRegularization.pytorch
  ☆56Updated 2 years ago
• dmsm / LearningPatches
  Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.
  ☆30Updated 4 years ago
• amirhertz / geometric-textures
  ☆48Updated 4 years ago
• Hippogriff / CSGNet
  CSGNet: Neural Shape parser for Constructive Solid Geometry
  ☆84Updated 5 years ago
• tovacinni / neural-fluid-fields
  A small library for doing fluid simulation with neural networks.
  ☆23Updated 4 years ago
• rundiwu / PQ-NET
  code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"
  ☆121Updated 2 years ago
• DifanLiu / NeuralContours
  Neural Contours: Learning to Draw Lines from 3D Shapes (CVPR2020)
  ☆110Updated 5 years ago
• chengjieniu / Im2Struct
  ☆45Updated 5 years ago
• KunalMGupta / NeuralMeshFlow
  Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
  ☆87Updated 4 years ago
• rkjones4 / ShapeAssembly
  Public code release for our Siggraph Asia 2020 paper: ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
  ☆57Updated 2 years ago
• drsrinathsridhar / tk3dv
  The Toolkit for 3D Vision (tk3dv) is a collection of tools for deep learning and 3D computer vision.
  ☆27Updated 4 years ago
• hyperplane-lab / Generative-3D-Part-Assembly
  Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020
  ☆172Updated 4 years ago
• henzler / platonicgan
  Escaping Plato’s Cave: 3D Shape from Adversarial Rendering [ICCV 2019]
  ☆44Updated 4 years ago
• kevin-kaixu / grass_pytorch
  PyTorch Implementation of GRASS
  ☆91Updated 5 years ago
• galmetzer / self-sample
  Single shape Deep Point Cloud Consolidation [TOG 2021]
  ☆46Updated 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
• Colin97 / DeepMetaHandles
  DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
  ☆88Updated 3 years ago
• chhankyao / lpd
  ☆14Updated 3 years ago
• Yi-Shi94 / Unsupervised-Deep-Shape-Descriptor-with-Point-Distribution-Learning
  Unsupervised Deep Shape Descriptor with Point Distribution Learning
  ☆18Updated 5 years ago
• isunchy / cuboid_abstraction
  Code release for "Learning Adaptive Hierarchical Cuboid Abstractions of 3D Shape Collections" (SIGGRAPH Asia 2019)
  ☆53Updated 6 years ago
• daerduoCarey / structedit
  StructEdit: Learning Structural Shape Variations
  ☆36Updated 5 years ago
• brownvc / planit
  Public code release for our SIGGRAPH 2019 paper "PlanIT: Planning and Instantiating Indoor Scenes with Relation Graph and Spatial Prior N…
  ☆103Updated 6 years ago
• daerduoCarey / pt2pc
  PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
  ☆47Updated 5 years ago
• czq142857 / DECOR-GAN
  PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.
  ☆85Updated 3 years ago
• matheusgadelha / MRTNet
  Code for Multiresolution Tree Networks for 3D Point Cloud Processing (ECCV 2018)
  ☆44Updated 6 years ago