daniilidis-group / all-graphs-lead-to-rome

Related projects ⓘ

Alternatives and complementary repositories for all-graphs-lead-to-rome

• tegusi / RGCNN
  Regularized Graph CNN for Point Cloud Segmentation
  ☆54Updated 6 years ago
• wangfudong / FRGM
  a functional representation for graph matching
  ☆25Updated 3 years ago
• zhfe99 / fgm
  Implementation of Factorized Graph Matching
  ☆31Updated 6 years ago
• Dangzheng / Eig-Free-release
  Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses (ECCV 2018)
  ☆16Updated 5 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
• VLOGroup / bp-layers
  Code for the Paper: Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
  ☆20Updated 3 years ago
• matheusgadelha / PointCloudLearningACD
  Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.
  ☆37Updated 3 years ago
• gyshgx868 / graph-ter
  The official PyTorch implementation of the CVPR2020 paper "GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representa…
  ☆57Updated 3 years ago
• yannadani / dlgm
  Implementation of the paper 'Deep Learning of Graph Matching', CVPR 2018.
  ☆53Updated 5 years ago
• daniilidis-group / emvn
  Demo source code for the paper "Equivariant Multi-View Networks".
  ☆57Updated last year
• xinkang / fgm
  ☆21Updated 10 years ago
• Not-IITian / Weakly-supervised-Deep-Functional-map
  Neurips 2020 paper on weakly supervised deep functional maps for shape matching
  ☆25Updated 4 years ago
• matanatz / pcnn
  Point Convolutional Neural Networks by Extension Operators
  ☆56Updated 4 years ago
• justanhduc / graphx-conv
  Official implementation of GraphX-Convolution
  ☆62Updated 4 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
• vcg-uvic / sfm_benchmark_release
  ☆37Updated 4 years ago
• Lingjing324 / PR-Net
  Non-Rigid Point Set Registration Networks
  ☆53Updated 5 years ago
• lijx10 / rot-equ-net
  Discrete Rotation Equivariance for Point Cloud Recognition. ICRA 2019
  ☆23Updated 5 years ago
• martius-lab / blackbox-deep-graph-matching
  Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
  ☆86Updated 3 years ago
• vcg-uvic / acne
  Code Release for CVPR 2020, "ACNe: Attentive Context Normalizationfor Robust Permutation-Equivariant Learning"
  ☆56Updated 4 years ago
• chrischoy / HighDimConvNets
  [CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition
  ☆39Updated 3 years ago
• adrienPoulenard / SPHnet
  Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :
  ☆33Updated 3 years ago
• GrumpyZhou / pytorch-dgcnn
  Pytorch implementation of Dynamic Graph CNN for Learning on Point Clouds (EdgeConv)
  ☆41Updated 5 years ago
• DeepLearnPhysics / dynamic-gcnn
  Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
  ☆61Updated 6 years ago
• art-programmer / MASC
  ☆58Updated 5 years ago
• dahliau / DPDist
  DPDist : Comparing Point Clouds Using Deep Point Cloud Distance (ECCV2020)
  ☆61Updated 2 years ago
• tiangeluo / Learning-to-Group
  A zero-shot segmentation framework for 3D shapes.
  ☆37Updated last year
• marckhoury / CGF
  Code and data for "Learning Compact Geometric Features"
  ☆41Updated 5 years ago
• iMoonLab / PVRNet
  PVRNet: Point-View Relation Neural Network for 3D Shape Recognition (AAAI 2019)
  ☆46Updated 5 years ago