Alternatives and similar repositories for EG16_tutorial:

Users that are interested in EG16_tutorial are comparing it to the libraries listed below

• davideboscaini / acnn
  Code for the paper "Learning shape correspondence with anisotropic convolutional neural networks"
  ☆30Updated 7 years ago
• ChunyuanLI / spectral_descriptors
  A collection of spectral descriptors for 3D meshed surfaces
  ☆60Updated 7 years ago
• orlitany / DeepFunctionalMaps
  ☆92Updated 6 years ago
• jiangzhongshi / SurfaceNetworks
  Source code for CVPR 2018 Oral paper "Surface Networks"
  ☆92Updated 5 years ago
• nitika-verma / FeaStNet
  FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
  ☆58Updated 6 years ago
• tum-vision / csd_lmnn
  Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval
  ☆18Updated 8 years ago
• adrienPoulenard / MDGCNN
  Multi Directional Geodesic Convolutional Neural Networks
  ☆35Updated 4 years ago
• ctralie / pyhks
  Simple dependency free Python library for the Heat Kernel Signature on triangle meshes
  ☆32Updated 4 years ago
• aldehydecho / Mesh-VAE
  Code for "Variational Autoencoders for Deforming 3D Mesh Models", CVPR 2018
  ☆29Updated 10 months ago
• kevin-kaixu / grass_pytorch
  PyTorch Implementation of GRASS
  ☆91Updated 4 years ago
• jonathanmasci / ShapeNet_data_preparation_toolbox
  Scripts to prepare datasets for ShapeNet using the geodesic patch operator.
  ☆19Updated 9 years ago
• zorah / KernelMatching
  Implementation of Efficient Deformable Shape Correspondence via Kernel Matching (https://arxiv.org/abs/1707.08991).
  ☆48Updated 6 years ago
• gpeyre / 2015-SIGGRAPH-convolutional-ot
  J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Opt…
  ☆104Updated 7 years ago
• ericyi / SyncSpecCNN
  Synchronized Spectral CNN for 3D Shape Segmentation.
  ☆51Updated 8 years ago
• lcosmo / isospectralization
  Implementation of the paper: Cosmo et al, Isospectralization, or how to hear shape, style, and correspondence, arXiv 2018 https://arxiv.o…
  ☆15Updated 2 years ago
• pierrebaque / GeometricConvolutionsBench
  ☆33Updated 7 years ago
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆88Updated last month
• optas / FmapLib
  An implementation of the Functional Map framework for finding correspondences between Meshes, Images or Graphs.
  ☆38Updated 8 years ago
• llorz / SGA19_zoomOut
  code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"
  ☆47Updated 5 years ago
• jianwen-xie / 3DDescriptorNet
  Learning Descriptor Networks for 3D Shape Synthesis and Analysis
  ☆34Updated 3 years ago
• kuixu / 3d-deep-learning
  3D Deep Learning works
  ☆141Updated 5 years ago
• kalo-ai / ShapePFCN
  Shape Projective Fully Convolutional Network
  ☆84Updated 4 months ago
• aldehydecho / convMesh
  Code for "Mesh-based Autoencoders for Localized Deformation Component Analysis", AAAI 2018
  ☆40Updated 6 years ago
• fxia22 / kdnet.pytorch
  implementation "Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models" in pytorch
  ☆117Updated 6 years ago
• jonathanmasci / ShapeNet
  Lightweight scalable deep learning framework for shape analysis.
  ☆40Updated 8 years ago
• danielewworrall / cubenet
  3D Roto-translation equivariant convolutions
  ☆54Updated 6 years ago
• zhijieW94 / SAGNet
  Structure-aware Generative Network for 3D-Shape Modeling (SIGGRAPH 2019)
  ☆42Updated 5 years ago
• sinhayan / learning_geometry_images
  ☆45Updated 8 years ago
• wang-ps / O-CNN
  This repository contains the code of our O-CNN paper.
  ☆39Updated 5 years ago
• junli-lj / Grass
  ☆44Updated 7 years ago