Alternatives and similar repositories for torch-vectorized

Users that are interested in torch-vectorized are comparing it to the libraries listed below

• mrakotosaon / diff-surface-triangulation
  ☆106Updated 2 years ago
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆202Updated last year
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆89Updated 6 months ago
• dmsm / DeepCurrents
  Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
  ☆59Updated 3 years ago
• marvin-eisenberger / deep-shells
  ☆43Updated 3 years ago
• dmsm / HodgeNet
  Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.
  ☆84Updated 3 years ago
• KunalMGupta / NeuralMeshFlow
  Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
  ☆86Updated 4 years ago
• HTDerekLiu / neuralSubdiv
  prototype code for neural subdivision
  ☆129Updated 2 years ago
• nmwsharp / neural-implicit-queries
  Queries on neural implicit surfaces via range analysis: ray casting, intersection, closest point, & more. SIGGRAPH 2022 paper. JAX implem…
  ☆178Updated 3 years ago
• papagina / MeshConvolution
  Code for Mesh Convolution Using a Learned Kernel Basis
  ☆55Updated 3 years ago
• pvnieo / DPFM
  Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)
  ☆41Updated 2 years ago
• OshriHalimi / unsupervised_learning_of_dense_shape_correspondence
  ☆82Updated 4 years ago
• ml-for-gp / jaxgptoolbox
  Geometry processing utilities compatible with jax for autodifferentiation.
  ☆90Updated 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
• JustusThies / PyMarchingCubes
  Marching cubes with and without color interpolation, and edge subsampling.
  ☆188Updated 3 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆89Updated 4 years ago
• llorz / SGA19_zoomOut
  code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"
  ☆50Updated 5 years ago
• czq142857 / NMC
  PyTorch implementation for paper Neural Marching Cubes.
  ☆168Updated last year
• dmsm / DeepParametricShapes
  Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.
  ☆54Updated 4 years ago
• RobinMagnet / pyFM
  Python implementation of Functional Maps
  ☆127Updated 5 months ago
• dsilvavinicius / i3d
  ☆49Updated 8 months ago
• luca-morreale / neural_surface_maps
  Neural Surface Maps
  ☆67Updated last year
• nmwsharp / robust-laplacians-py
  Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].
  ☆243Updated 8 months ago
• vsitzmann / metasdf
  Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
  ☆142Updated 4 years ago
• DominikPenk / mesh-signatures
  A small project implementing different per-vertex mesh signatures.
  ☆41Updated last year
• threedle / LoopDraw
  ☆6Updated last year
• hjwdzh / MeshODE
  MeshODE: A Robust and Scalable Framework for Mesh Deformation
  ☆101Updated 5 years ago
• llorz / SGA18_orientation_BCICP_code
  code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"
  ☆35Updated 5 years ago
• cvlab-epfl / MeshSDF
  Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight
  ☆238Updated 3 years ago
• twmitchel / MobiusConv
  Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
  ☆27Updated last year