Alternatives and similar repositories for pyhks

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

• orlitany / DeepFunctionalMaps
  ☆93Updated 6 years ago
• adrienPoulenard / MDGCNN
  Multi Directional Geodesic Convolutional Neural Networks
  ☆36Updated 5 years ago
• ChunyuanLI / spectral_descriptors
  A collection of spectral descriptors for 3D meshed surfaces
  ☆60Updated 7 years ago
• llorz / SGA19_zoomOut
  code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"
  ☆51Updated 5 years ago
• OshriHalimi / unsupervised_learning_of_dense_shape_correspondence
  ☆82Updated 4 years ago
• Haggaim / ToricCNN
  Code for the SIGGRAPH 2017 paper "Convolutional Neural Networks on Surfaces via Seamless Toric Covers"
  ☆21Updated 6 years ago
• nitika-verma / FeaStNet
  FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
  ☆58Updated 7 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…
  ☆127Updated 2 years ago
• DominikPenk / mesh-signatures
  A small project implementing different per-vertex mesh signatures.
  ☆41Updated last year
• maxjiang93 / ShapeFlow
  Learnable Deformations Among 3D Shapes.
  ☆64Updated 4 years ago
• aldehydecho / Mesh-VAE
  Code for "Variational Autoencoders for Deforming 3D Mesh Models", CVPR 2018
  ☆28Updated last year
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆89Updated 8 months ago
• LIX-shape-analysis / GeomFmaps
  ☆52Updated 5 years ago
• jackd / template_ffd
  Code for paper "Learning Free-Form Deformations for 3D Object Reconstruction"
  ☆83Updated 7 years ago
• ruqihuang / SGP2020_ConsistentZoomOut
  Demo for paper 'Consistent ZoomOut: Efficient Spectral Map Synchronization' (SGP 2020).
  ☆17Updated 5 years ago
• fwilliams / deep-geometric-prior
  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
  ☆138Updated last year
• facebookresearch / VCMeshConv
  Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoenc…
  ☆99Updated 4 years ago
• marvin-eisenberger / deep-shells
  ☆43Updated 3 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆88Updated 4 years ago
• llorz / SGA18_orientation_BCICP_code
  code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"
  ☆36Updated 5 years ago
• clinplayer / SEG-MAT
  SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform (TVCG2020)
  ☆63Updated 8 months ago
• davideboscaini / acnn
  Code for the paper "Learning shape correspondence with anisotropic convolutional neural networks"
  ☆31Updated 7 years ago
• LIX-shape-analysis / SURFMNet
  code and data associated with the paper "Unsupervised Deep Learning for Structured Shape Matching"
  ☆51Updated 2 months ago
• pvnieo / GeomFmaps_pytorch
  A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"
  ☆25Updated last year
• 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
• alexeybokhovkin / DeepSDF
  "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)
  ☆53Updated 6 years ago
• AlonLahav / MeshWalker
  MeshWalker implementation
  ☆56Updated 4 years ago
• dmsm / HodgeNet
  Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.
  ☆84Updated 3 years ago
• gaolinorange / SDMNET_stamp
  ☆39Updated 4 years ago
• sinhayan / learning_geometry_images
  ☆45Updated 9 years ago