Alternatives and similar repositories for unsupervised_learning_of_dense_shape_correspondence

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

• LIX-shape-analysis / GeomFmaps
  ☆51Updated 5 years ago
• ThibaultGROUEIX / CycleConsistentDeformation
  This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
  ☆62Updated 4 years ago
• marvin-eisenberger / deep-shells
  ☆43Updated 3 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆89Updated 4 years ago
• maxjiang93 / ShapeFlow
  Learnable Deformations Among 3D Shapes.
  ☆65Updated 4 years ago
• LIX-shape-analysis / SURFMNet
  code and data associated with the paper "Unsupervised Deep Learning for Structured Shape Matching"
  ☆51Updated 4 years ago
• pvnieo / GeomFmaps_pytorch
  A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"
  ☆25Updated last year
• laughtervv / 3DN
  3DN: 3D Deformation Network, CVPR 2019
  ☆103Updated 6 years ago
• GitBoSun / ARAPReg
  ☆159Updated 3 years ago
• zekunhao1995 / DualSDF
  DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20
  ☆142Updated 2 years ago
• liufeng2915 / Implicit_Dense_Correspondence
  ☆61Updated 3 years ago
• marvin-eisenberger / smooth-shells
  Multi-Scale Shape Registration with Functional Maps
  ☆26Updated 4 years ago
• theodeprelle / AtlasNetV2
  This repository contains the source codes for the paper AtlasNet V2 - Learning Elementary Structures.
  ☆138Updated last year
• czq142857 / BAE-NET
  The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".
  ☆70Updated 4 years ago
• llorz / SGA19_zoomOut
  code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence"
  ☆49Updated 5 years ago
• Colin97 / DeepMetaHandles
  DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
  ☆84Updated 2 years ago
• griegler / pyrender
  ☆29Updated 6 years ago
• facebookresearch / VCMeshConv
  Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoenc…
  ☆98Updated 3 years ago
• orlitany / DeepFunctionalMaps
  ☆92Updated 6 years ago
• hassony2 / shape_sdf
  ☆44Updated 6 years ago
• papagina / MeshConvolution
  Code for Mesh Convolution Using a Learned Kernel Basis
  ☆55Updated 2 years ago
• OshriHalimi / shape_completion
  ☆28Updated last year
• yifita / pytorch_points
  a pytorch extension for learning point clouds
  ☆35Updated 5 years ago
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆89Updated 5 months 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…
  ☆125Updated 2 years ago
• haidongz-usc / Curriculum-DeepSDF
  Implementation for Curriculum DeepSDF
  ☆88Updated 5 years ago
• fwilliams / deep-geometric-prior
  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
  ☆138Updated last year
• AljazBozic / DeepDeform
  [CVPR'2020] DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
  ☆187Updated 4 years ago
• hjwdzh / MeshODE
  MeshODE: A Robust and Scalable Framework for Mesh Deformation
  ☆100Updated 5 years ago
• xiangruhuang / HumanCorresViaLearn2Sync
  ☆47Updated 4 years ago