Alternatives and similar repositories for graph-ter

Users that are interested in graph-ter are comparing it to the libraries listed below

• iMoonLab / PVRNet
  PVRNet: Point-View Relation Neural Network for 3D Shape Recognition (AAAI 2019)
  ☆47Updated 6 years ago
• tegusi / RGCNN
  Regularized Graph CNN for Point Cloud Segmentation
  ☆58Updated 7 years ago
• ToughStoneX / DGCNN
  a pytorch implimentation of Dynamic Graph CNN(EdgeConv)
  ☆81Updated 6 years ago
• hjjpku / Attention_in_Graph
  attention mechanism for graph classification, significant sub-graph mining, graph disstillation
  ☆38Updated 5 years ago
• yannadani / dlgm
  Implementation of the paper 'Deep Learning of Graph Matching', CVPR 2018.
  ☆52Updated 6 years ago
• MingyeXu / GS-Net
  Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
  ☆50Updated 5 years ago
• cuge1995 / ECCV-2020-point-cloud-analysis
  ECCV 2020 papers focusing on point cloud analysis
  ☆22Updated 4 years ago
• yunlu-chen / PointMixup
  Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation
  ☆98Updated 5 years ago
• samaonline / spatial-transformer-for-3d-point-clouds
  spatial transformer for 3d point clouds
  ☆30Updated 3 years ago
• GrumpyZhou / pytorch-dgcnn
  Pytorch implementation of Dynamic Graph CNN for Learning on Point Clouds (EdgeConv)
  ☆43Updated 6 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…
  ☆59Updated 5 years ago
• csyanbin / SCOT
  CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.
  ☆105Updated 4 years ago
• lyqun / FPConv
  CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"
  ☆133Updated 4 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…
  ☆21Updated 6 years ago
• liuxinhai / Point2Sequence
  Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
  ☆41Updated 5 years ago
• hehefan / PointRNN-PyTorch
  PointRNN, PointGRU and PointLSTM.
  ☆64Updated 3 years ago
• EnyaHermite / SegGCN
  SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel
  ☆31Updated 5 years ago
• xianyuMeng / VV-Net-Voxel-VAE-Net-with-Group-Convolutions-for-Point-Cloud-Segmentation
  official implementation for our ICCV 2019 paper : Voxel VAE Net with Group Convolutions for Point Cloud Segmentation
  ☆20Updated 2 years ago
• cy69855522 / Geo-CNN-Pytorch-PYG
  A Pytorch Implementation of “Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN”
  ☆17Updated 5 years ago
• adrienPoulenard / SPHnet
  Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :
  ☆34Updated 4 years ago
• raoyongming / PointGLR
  [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
  ☆126Updated 5 years ago
• charusharma1991 / SSL_PointClouds
  ☆34Updated 5 years ago
• goodbye61 / RI_l2g
  ☆33Updated 5 years ago
• leondelee / PointGCN
  ☆11Updated 2 years ago
• weixmath / view-GCN
  Pytorch code for view-GCN (CVPR2020)
  ☆84Updated 11 months ago
• daniilidis-group / emvn
  Demo source code for the paper "Equivariant Multi-View Networks".
  ☆57Updated 2 years ago
• LeonhardFeiner / sparse_rcnn
  Sparse Convolutions for Semantic 3D Instance Segmentation
  ☆10Updated 5 years ago
• martius-lab / blackbox-deep-graph-matching
  Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
  ☆88Updated 4 years ago
• paul007pl / PointAtrousGraph
  Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points
  ☆29Updated 5 years ago
• lingzhang1 / ContrastNet
  ☆46Updated 2 years ago