Alternatives and similar repositories for NeuralMeshFlow:

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

• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆198Updated last year
• lucidrains / differentiable-SDF-pytorch
  Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
  ☆68Updated 2 years ago
• pablopalafox / npms
  Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021
  ☆127Updated last year
• luca-morreale / neural_surface_maps
  Neural Surface Maps
  ☆64Updated 8 months ago
• OshriHalimi / unsupervised_learning_of_dense_shape_correspondence
  ☆82Updated 3 years ago
• peisuke / ImplicitGeometricRegularization.pytorch
  ☆56Updated last year
• maxjiang93 / ShapeFlow
  Learnable Deformations Among 3D Shapes.
  ☆65Updated 4 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆91Updated 4 years ago
• computational-imaging / bacon
  Official respository for "Band-limited Coordinate Networks for Multiscale Scene Representation" | CVPR 2022
  ☆179Updated 2 years ago
• tomasjakab / keypoint_deformer
  KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
  ☆108Updated 3 years ago
• dmsm / DeepParametricShapes
  Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.
  ☆54Updated 3 years ago
• Colin97 / DeepMetaHandles
  DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
  ☆83Updated 2 years ago
• zekunhao1995 / DualSDF
  DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20
  ☆140Updated last year
• vsitzmann / metasdf
  Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
  ☆139Updated 4 years ago
• vsitzmann / shapenet_renderer
  A clean, compact renderer for spherical images of shapenet objects in blender <2.8.
  ☆75Updated 3 years ago
• paschalidoud / neural_parts
  Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021
  ☆172Updated 3 years ago
• nv-tlabs / DefTet
  Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)
  ☆177Updated last year
• RuojinCai / ShapeGF
  Learning Gradient Fields for Shape Generation
  ☆189Updated 3 years ago
• MIT-SPARK / PD-MeshNet
  Primal-Dual Mesh Convolutional Neural Networks
  ☆112Updated 3 years ago
• marvin-eisenberger / deep-shells
  ☆42Updated 2 years ago
• B1ueber2y / DIST-Renderer
  DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).
  ☆219Updated 4 years ago
• fwilliams / neural-splines
  Official Implementation of Neural Splines
  ☆90Updated 3 years ago
• Gorilla-Lab-SCUT / AnalyticMesh
  An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks
  ☆73Updated 2 years ago
• paschalidoud / hierarchical_primitives
  Code for "Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image", CVPR 2020
  ☆95Updated 2 years ago
• nmwsharp / learned-triangulation
  Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020
  ☆111Updated 3 years ago
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆88Updated 2 weeks ago
• tum-vision / intrinsic-neural-fields
  [ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds
  ☆72Updated 2 years ago
• JiahuiLei / Pix2Surf
  ☆42Updated 4 years ago
• yifita / iso-points
  Code for Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations
  ☆68Updated 2 years ago
• fwilliams / deep-geometric-prior
  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
  ☆131Updated 10 months ago