Alternatives and similar repositories for all-graphs-lead-to-rome:

Users that are interested in all-graphs-lead-to-rome are comparing it to the libraries listed below

• wangfudong / FRGM
  a functional representation for graph matching
  ☆25Updated 4 years ago
• Dangzheng / Eig-Free-release
  Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses (ECCV 2018)
  ☆16Updated 5 years ago
• gpeyre / 2016-SIGGRAPH-gw
  J. Solomon, G. Peyré, V. Kim, S. Sra. Entropic Metric Alignment for Correspondence Problems. ACM Transactions on Graphics (Proc. SIGGRAPH…
  ☆10Updated 8 years ago
• bach-zouk / Weakly-supervised-Deep-Functional-map
  Neurips 2020 paper on weakly supervised deep functional maps for shape matching
  ☆25Updated 4 years ago
• xinkang / fgm
  ☆21Updated 11 years ago
• alitabet / morton-net
  PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and th…
  ☆20Updated 5 years ago
• Lingjing324 / PR-Net
  Non-Rigid Point Set Registration Networks
  ☆54Updated 5 years ago
• daniilidis-group / emvn
  Demo source code for the paper "Equivariant Multi-View Networks".
  ☆57Updated last year
• zhfe99 / fgm
  Implementation of Factorized Graph Matching
  ☆31Updated 6 years ago
• yujiali / pygco
  A python wrapper for gco-v3.0 package, used for graph cuts based MRF optimization.
  ☆56Updated 6 years ago
• yannadani / dlgm
  Implementation of the paper 'Deep Learning of Graph Matching', CVPR 2018.
  ☆53Updated 5 years ago
• vcg-uvic / sfm_benchmark_release
  ☆37Updated 4 years ago
• zju-3dv / multiway
  Code for Multi-Object Matching
  ☆46Updated 5 years ago
• matanatz / pcnn
  Point Convolutional Neural Networks by Extension Operators
  ☆57Updated 5 years ago
• martius-lab / blackbox-deep-graph-matching
  Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
  ☆86Updated 4 years ago
• mruan / pcdlaplace
  Wrapper for Mikhail Belkin et. al's Pointcloud LB operator. Not dependent on PCL
  ☆11Updated 10 years ago
• adrienPoulenard / SPHnet
  Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :
  ☆33Updated 4 years ago
• tiangeluo / Learning-to-Group
  A zero-shot segmentation framework for 3D shapes.
  ☆37Updated last year
• VLOGroup / bp-layers
  Code for the Paper: Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
  ☆20Updated 3 years ago
• tum-vision / csd_lmnn
  Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrieval
  ☆19Updated 8 years ago
• gyshgx868 / graph-ter
  The official PyTorch implementation of the CVPR2020 paper "GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representa…
  ☆57Updated 4 years ago
• tegusi / RGCNN
  Regularized Graph CNN for Point Cloud Segmentation
  ☆55Updated 6 years ago
• jiangzhongshi / SurfaceNetworks
  Source code for CVPR 2018 Oral paper "Surface Networks"
  ☆92Updated 4 years ago
• felja633 / RLLReg
  Registration Loss Learning for Deep Probabilistic Point Set Registration
  ☆41Updated 3 years ago
• LeiYangJustin / Map-in-a-Cycle
  Official implementation of paper "Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes"
  ☆14Updated 4 years ago
• chrischoy / HighDimConvNets
  [CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition
  ☆40Updated 3 years ago
• chrischoy / open-ucn
  The first fully convolutional metric learning for geometric/semantic image correspondences.
  ☆88Updated 3 years ago
• diegovalsesia / GraphCNN-GAN
  Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds vi…
  ☆57Updated 4 years ago
• csyanbin / SCOT
  CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.
  ☆105Updated 3 years ago
• XYZReality / xrcnet
  A novel dense correspondence network
  ☆16Updated 3 years ago