Alternatives and similar repositories for KPConv

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

• HuguesTHOMAS / KPConv-PyTorch
  Kernel Point Convolution implemented in PyTorch
  ☆836Updated 6 months ago
• aRI0U / RandLA-Net-pytorch
  PyTorch implementation of RandLA-Net
  ☆382Updated 3 years ago
• sshaoshuai / Pointnet2.PyTorch
  A faster implementation of PointNet++ based on PyTorch.
  ☆500Updated 2 years ago
• loicland / superpoint_graph
  Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
  ☆775Updated last year
• DylanWusee / pointconv_pytorch
  pytorch version of PointConv
  ☆290Updated 4 years ago
• dvlab-research / PointGroup
  PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
  ☆422Updated 10 months ago
• nicolas-chaulet / torch-points3d
  Pytorch framework for doing deep learning on point clouds.
  ☆243Updated 3 years ago
• DylanWusee / pointconv
  ☆499Updated 5 years ago
• mit-han-lab / pvcnn
  [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
  ☆665Updated 3 years ago
• Yochengliu / Relation-Shape-CNN
  Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
  ☆423Updated 3 years ago
• hmgoforth / PointNetLK
  ☆475Updated 6 years ago
• qq456cvb / Point-Transformers
  Point Transformers
  ☆694Updated last year
• QingyongHu / RandLA-Net
  🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
  ☆1,421Updated last year
• wentaoyuan / pcn
  Code for PCN: Point Completion Network in 3DV'18 (Oral)
  ☆464Updated last year
• isl-org / Open3D-PointNet2-Semantic3D
  Semantic3D segmentation with Open3D and PointNet++
  ☆536Updated 10 months ago
• POSTECH-CVLab / point-transformer
  This is an unofficial implementation of the Point Transformer paper.
  ☆574Updated 3 years ago
• Strawberry-Eat-Mango / PCT_Pytorch
  Pytorch implementation of PCT: Point Cloud Transformer
  ☆379Updated 3 years ago
• vinits5 / learning3d
  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
  ☆817Updated 2 months ago
• guochengqian / PointNeXt
  [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
  ☆901Updated last year
• Yang7879 / 3D-BoNet
  🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
  ☆395Updated 4 years ago
• aboulch / ConvPoint
  ☆192Updated 4 years ago
• antao97 / dgcnn.pytorch
  A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
  ☆767Updated 2 years ago
• erikwijmans / Pointnet2_PyTorch
  PyTorch implementation of Pointnet2/Pointnet++
  ☆1,655Updated 3 months ago
• WangYueFt / dcp
  ☆385Updated 2 years ago
• chrischoy / FCGF
  Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
  ☆682Updated 4 years ago
• charlesq34 / pointnet-autoencoder
  Autoencoder for Point Clouds
  ☆431Updated last year
• yuxumin / PoinTr
  [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
  ☆710Updated 8 months ago
• dvlab-research / Stratified-Transformer
  Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)
  ☆403Updated 2 years ago
• yanx27 / PointASNL
  PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）
  ☆263Updated 3 years ago
• QingyongHu / SpinNet
  [CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
  ☆289Updated 3 years ago