Alternatives and similar repositories for Weakly-supervised-Deep-Functional-map

Users that are interested in Weakly-supervised-Deep-Functional-map are comparing it to the libraries listed below

• marvin-eisenberger / deep-shells
  ☆43Updated 3 years ago
• LIX-shape-analysis / GeomFmaps
  ☆52Updated 5 years ago
• OshriHalimi / unsupervised_learning_of_dense_shape_correspondence
  ☆82Updated 4 years ago
• ThibaultGROUEIX / CycleConsistentDeformation
  This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
  ☆62Updated 4 years ago
• yifita / pytorch_points
  a pytorch extension for learning point clouds
  ☆36Updated 5 years ago
• OshriHalimi / shape_completion
  ☆27Updated 2 years ago
• mikacuy / deformation_aware_embedding
  Deformation-Aware 3D Model Embedding and Retrieval, ECCV 2020
  ☆54Updated 4 years ago
• adrienPoulenard / MDGCNN
  Multi Directional Geodesic Convolutional Neural Networks
  ☆36Updated 5 years ago
• ruqihuang / SGP2020_ConsistentZoomOut
  Demo for paper 'Consistent ZoomOut: Efficient Spectral Map Synchronization' (SGP 2020).
  ☆17Updated 5 years ago
• nicolasdonati / DUO-FM
  Implementation of CVPR2022 paper: "Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching".
  ☆25Updated 3 years ago
• paigautam / CVPR21_FastSinkhornFilters
  Sample code for Fast Sinkhorn Filters - from CVPR 2021
  ☆19Updated 4 years ago
• pvnieo / GeomFmaps_pytorch
  A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"
  ☆25Updated last year
• marvin-eisenberger / smooth-shells
  Multi-Scale Shape Registration with Functional Maps
  ☆27Updated 5 years ago
• matheusgadelha / PointCloudLearningACD
  Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.
  ☆40Updated 4 years ago
• mikacuy / joint_learning_retrieval_deformation
  Joint Learning of 3D Shape Retrieval and Deformation, CVPR 2021
  ☆54Updated 4 years ago
• maxjiang93 / ShapeFlow
  Learnable Deformations Among 3D Shapes.
  ☆64Updated 4 years ago
• tiangeluo / Learning-to-Group
  A zero-shot segmentation framework for 3D shapes.
  ☆38Updated 2 years ago
• syb7573330 / PointGrow
  An autoregressive model for point cloud generation augmented with self-attention
  ☆28Updated 5 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆88Updated 4 years ago
• pvnieo / SURFMNet-pytorch
  A pytorch implementation of: "Unsupervised Deep Learning for Structured Shape Matching"
  ☆16Updated 4 years ago
• riccardomarin / Diff-FMAPs-PyTorch
  ☆15Updated 3 years ago
• fwilliams / deep-geometric-prior
  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
  ☆140Updated last year
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆88Updated 10 months ago
• dmsm / DeepParametricShapes
  Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.
  ☆54Updated 4 years ago
• mruan / pcdlaplace
  Wrapper for Mikhail Belkin et. al's Pointcloud LB operator. Not dependent on PCL
  ☆11Updated 11 years ago
• LeiYangJustin / Map-in-a-Cycle
  Official implementation of paper "Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes"
  ☆14Updated 5 years ago
• davrempe / caspr
  Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"
  ☆71Updated 2 years ago
• riccardomarin / Diff-FMaps
  ☆11Updated 2 years ago
• FlyingGiraffe / vnn-neural-implicits
  Neural implicit reconstruction experiments for the Vector Neuron paper
  ☆44Updated 4 years ago
• amirhertz / pointgmm
  ☆52Updated 5 years ago