Alternatives and similar repositories for dgcnn

Users that are interested in dgcnn are comparing it to the libraries listed below

• antao97 / dgcnn.pytorch
  A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
  ☆793Updated 3 years ago
• erikwijmans / Pointnet2_PyTorch
  PyTorch implementation of Pointnet2/Pointnet++
  ☆1,755Updated 9 months ago
• fxia22 / pointnet.pytorch
  pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.005…
  ☆2,339Updated 2 years ago
• HuguesTHOMAS / KPConv-PyTorch
  Kernel Point Convolution implemented in PyTorch
  ☆873Updated 2 months ago
• yangyanli / PointCNN
  PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
  ☆1,426Updated 4 years ago
• qq456cvb / Point-Transformers
  Point Transformers
  ☆722Updated last year
• torch-points3d / torch-points3d
  Pytorch framework for doing deep learning on point clouds.
  ☆2,683Updated last month
• HuguesTHOMAS / KPConv
  Kernel Point Convolutions
  ☆776Updated 4 years ago
• charlesq34 / pointnet2
  PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
  ☆3,580Updated 3 years ago
• QingyongHu / RandLA-Net
  🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
  ☆1,502Updated 2 years ago
• NUAAXQ / awesome-point-cloud-analysis-2023
  A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
  ☆1,585Updated last year
• QingyongHu / SoTA-Point-Cloud
  🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
  ☆1,632Updated 4 years ago
• POSTECH-CVLab / point-transformer
  This is an unofficial implementation of the Point Transformer paper.
  ☆624Updated 3 years ago
• vinits5 / learning3d
  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
  ☆848Updated 6 months ago
• lucidrains / point-transformer-pytorch
  Implementation of the Point Transformer layer, in Pytorch
  ☆601Updated 3 years ago
• WeijingShi / Point-GNN
  Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
  ☆583Updated 5 years ago
• loicland / superpoint_graph
  Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
  ☆795Updated 2 years ago
• mit-han-lab / pvcnn
  [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
  ☆673Updated 3 years ago
• MenghaoGuo / PCT
  Jittor implementation of PCT:Point Cloud Transformer
  ☆711Updated 4 years ago
• sshaoshuai / Pointnet2.PyTorch
  A faster implementation of PointNet++ based on PyTorch.
  ☆512Updated 2 years ago
• DylanWusee / pointconv
  ☆496Updated 6 years ago
• guochengqian / PointNeXt
  [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
  ☆983Updated 2 years ago
• Strawberry-Eat-Mango / PCT_Pytorch
  Pytorch implementation of PCT: Point Cloud Transformer
  ☆393Updated 4 years ago
• ma-xu / pointMLP-pytorch
  [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…
  ☆584Updated 11 months ago
• Yochengliu / Relation-Shape-CNN
  Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
  ☆426Updated 4 years ago
• antao97 / PointCloudDatasets
  3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
  ☆503Updated 3 years ago
• DylanWusee / pointconv_pytorch
  pytorch version of PointConv
  ☆297Updated 5 years ago
• nikitakaraevv / pointnet
  PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
  ☆274Updated 2 years ago
• yanx27 / Pointnet_Pointnet2_pytorch
  PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
  ☆4,664Updated last year
• facebookresearch / votenet
  Deep Hough Voting for 3D Object Detection in Point Clouds
  ☆1,745Updated 3 years ago