Alternatives and similar repositories for SpectralShapeAnalysis

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

• EmilianPostolache / InstantRecoveryFromSpectrumTorch
  ☆14Updated 3 years ago
• riccardomarin / Diff-FMAPs-PyTorch
  ☆14Updated 3 years ago
• dmsm / DeepCurrents
  Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
  ☆58Updated 3 years ago
• DominikPenk / mesh-signatures
  A small project implementing different per-vertex mesh signatures.
  ☆39Updated 9 months ago
• RobinMagnet / pyFM
  Python implementation of Functional Maps
  ☆120Updated 2 months ago
• rubenwiersma / deltaconv
  Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
  ☆142Updated last year
• riccardomarin / InstantRecoveryFromSpectrum
  ☆17Updated 2 years ago
• marvin-eisenberger / deep-shells
  ☆44Updated 2 years ago
• xieyizheng / hybridfmaps
  CVPR 2024, Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
  ☆19Updated last month
• paigautam / CVPR21_FastSinkhornFilters
  Sample code for Fast Sinkhorn Filters - from CVPR 2021
  ☆19Updated 3 years ago
• pvnieo / GeomFmaps_pytorch
  A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"
  ☆26Updated last year
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆201Updated last year
• pvnieo / DPFM
  Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)
  ☆41Updated 2 years ago
• ml-for-gp / jaxgptoolbox
  Geometry processing utilities compatible with jax for autodifferentiation.
  ☆88Updated last year
• rubenwiersma / blender-pointcloud
  Animation Nodes script for loading and rendering point clouds in Blender
  ☆19Updated 3 years ago
• llorz / SGA19_zoomOut
  code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"
  ☆49Updated 5 years ago
• rubenwiersma / pointcloud-differential
  Gradient, divergence, Laplacian on point clouds. Useful for setting up and solving PDEs on point clouds and learning anisotropic features…
  ☆75Updated 2 years ago
• nicolasdonati / QMaps
  Implementation of Complex Functional Maps
  ☆16Updated 2 years ago
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆88Updated 3 months ago
• adrienPoulenard / MDGCNN
  Multi Directional Geodesic Convolutional Neural Networks
  ☆36Updated 4 years ago
• emmanuel-hartman / H2_SurfaceMatch
  ☆18Updated last year
• luca-morreale / neural_surface_maps
  Neural Surface Maps
  ☆65Updated 11 months ago
• LIX-shape-analysis / GeomFmaps
  ☆51Updated 4 years ago
• iszihan / VectorAdam
  VectorAdam for Rotation Equivariant Geometry Optimization
  ☆114Updated 2 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆90Updated 4 years ago
• OshriHalimi / unsupervised_learning_of_dense_shape_correspondence
  ☆82Updated 3 years ago
• vsitzmann / metasdf
  Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
  ☆142Updated 4 years ago
• maxjiang93 / ShapeFlow
  Learnable Deformations Among 3D Shapes.
  ☆65Updated 4 years ago
• twmitchel / MobiusConv
  Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
  ☆26Updated 11 months ago
• bach-zouk / Weakly-supervised-Deep-Functional-map
  Neurips 2020 paper on weakly supervised deep functional maps for shape matching
  ☆26Updated 4 years ago