Alternatives and similar repositories for SpectralShapeAnalysis

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

• EmilianPostolache / InstantRecoveryFromSpectrumTorch
  ☆14Updated 4 years ago
• xieyizheng / hybridfmaps
  CVPR 2024, Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
  ☆21Updated 5 months ago
• rubenwiersma / deltaconv
  Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
  ☆143Updated 2 years ago
• DominikPenk / mesh-signatures
  A small project implementing different per-vertex mesh signatures.
  ☆41Updated last year
• riccardomarin / InstantRecoveryFromSpectrum
  ☆17Updated 3 years ago
• RobinMagnet / pyFM
  Python implementation of Functional Maps
  ☆131Updated 6 months ago
• ml-for-gp / jaxgptoolbox
  Geometry processing utilities compatible with jax for autodifferentiation.
  ☆91Updated last year
• riccardomarin / Diff-FMAPs-PyTorch
  ☆15Updated 3 years ago
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆203Updated last year
• iszihan / VectorAdam
  VectorAdam for Rotation Equivariant Geometry Optimization
  ☆115Updated 2 years ago
• marvin-eisenberger / deep-shells
  ☆43Updated 3 years ago
• dmsm / DeepCurrents
  Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
  ☆60Updated 3 years ago
• pvnieo / DPFM
  Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)
  ☆42Updated 3 years ago
• nicolasdonati / QMaps
  Implementation of Complex Functional Maps
  ☆18Updated 2 years ago
• rubenwiersma / blender-pointcloud
  Animation Nodes script for loading and rendering point clouds in Blender
  ☆21Updated 3 years ago
• pvnieo / GeomFmaps_pytorch
  A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"
  ☆25Updated last year
• llorz / SGA19_zoomOut
  code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"
  ☆51Updated 5 years ago
• luca-morreale / neural_surface_maps
  Neural Surface Maps
  ☆67Updated last year
• vsitzmann / metasdf
  Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
  ☆142Updated 4 years ago
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆89Updated 7 months ago
• paigautam / CVPR21_FastSinkhornFilters
  Sample code for Fast Sinkhorn Filters - from CVPR 2021
  ☆19Updated 4 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
• nmwsharp / diffusion-net
  Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
  ☆454Updated 3 years ago
• microsoft / SplinePosEnc
  ☆45Updated 3 years ago
• dmsm / LearningPatches
  Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.
  ☆29Updated 4 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆88Updated 4 years ago
• KunalMGupta / NeuralMeshFlow
  Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
  ☆87Updated 4 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…
  ☆78Updated 3 years ago
• nmwsharp / robust-laplacians-py
  Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].
  ☆245Updated 10 months ago
• emmanuel-hartman / H2_SurfaceMatch
  ☆19Updated last year