Alternatives and similar repositories for GS-Net:

Users that are interested in GS-Net are comparing it to the libraries listed below

• xiaogangw-zz / cascaded-point-completion
  ☆60Updated 4 years ago
• XuyangBai / KPConv.pytorch
  PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
  ☆67Updated 4 years ago
• wleigithub / GACNet
  This is a Tensorflow implementation of GACNet.
  ☆26Updated 5 years ago
• raoyongming / PointGLR
  [CVPR 2020] Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
  ☆123Updated 4 years ago
• qq456cvb / PRIN
  Pointwise Rotation-Invariant Network (AAAI 2020)
  ☆87Updated 4 years ago
• samaonline / spatial-transformer-for-3d-point-clouds
  spatial transformer for 3d point clouds
  ☆29Updated 3 years ago
• fpthink / PDGN
  Progressive Point Cloud Deconvolution Generation Network (PDGN)
  ☆28Updated 3 years ago
• erictuanle / GoingDeeperwPointNetworks
  This project releases the code for the Paper "Going Deeper with Point Networks"
  ☆59Updated 5 years ago
• yunlu-chen / PointMixup
  Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation
  ☆98Updated 4 years ago
• duanyueqi / SRN
  Structural Relational Reasoning of Point Clouds
  ☆19Updated 5 years ago
• hwcao17 / ASAP-Net
  Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"
  ☆29Updated 4 years ago
• wentaoyuan / it-net
  Implementation of Iterative Transformer Network for 3D Point Cloud
  ☆41Updated 4 years ago
• guochengqian / ASSANet
  [NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
  ☆35Updated 2 years ago
• XuyangBai / FoldingNet
  PyTorch reimplementation of FoldingNet
  ☆37Updated 5 years ago
• XLechter / Detail-Preserved-Point-Cloud-Completion-via-SFA
  Code for the ECCV 2020 paper: Detail Preserved Point Cloud Completion via Separated Feature Aggregation
  ☆61Updated 2 years ago
• umyta / A-SCN
  Attentional ShapeContextNet for Point Cloud Recognition
  ☆20Updated 5 years ago
• FrankCAN / GAPointNet
  ☆47Updated 5 years ago
• akomarichev / a-cnn
  ☆47Updated 5 years ago
• EnyaHermite / psicnn
  Octree guided cnn with spherical kernels for 3D point clouds
  ☆21Updated 5 years ago
• yifita / 3PU_pytorch
  pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<
  ☆76Updated 5 years ago
• xyf513 / SpiderCNN
  SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
  ☆71Updated 6 years ago
• goodbye61 / RI_l2g
  ☆33Updated 4 years ago
• liuxinhai / Point2Sequence
  Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
  ☆41Updated 4 years ago
• zwb0 / PointLIE
  PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery (IJCAI 2021)
  ☆18Updated 4 years ago
• syb7573330 / PointGrow
  An autoregressive model for point cloud generation augmented with self-attention
  ☆27Updated 5 years ago
• Yochengliu / DensePoint
  DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
  ☆119Updated 3 years ago
• hzykent / VMNet
  Implementation of ICCV2021(Oral) paper - VMNet: Voxel-Mesh Network for Geodesic-aware 3D Semantic Segmentation
  ☆101Updated 2 years ago
• jimmy15923 / unsup_point_coseg
  ☆26Updated 2 years ago
• plusmultiply / mprm
  Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
  ☆49Updated 4 years ago
• FishWantToFly / MTML_pytorch_implementation
  Unofficial implementation of 3D Instance Segmentation via Multi-Task Metric Learning (MTML)
  ☆15Updated 4 years ago