isl-org / Open3D-PointNet2-Semantic3D

Related projects ⓘ

Alternatives and complementary repositories for Open3D-PointNet2-Semantic3D

• HuguesTHOMAS / KPConv
  Kernel Point Convolutions
  ☆709Updated 3 years ago
• hmgoforth / PointNetLK
  ☆456Updated 5 years ago
• isl-org / Open3D-PointNet
  Open3D PointNet implementation with PyTorch
  ☆192Updated 3 years ago
• zgojcic / 3DSmoothNet
  [CVPR2019] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
  ☆477Updated last year
• jbehley / point_labeler
  My awesome point cloud labeling tool
  ☆666Updated 2 weeks ago
• Yang7879 / 3D-BoNet
  🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
  ☆391Updated 3 years ago
• loicland / superpoint_graph
  Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
  ☆763Updated last year
• davidcaron / pclpy
  Python bindings for the Point Cloud Library (PCL)
  ☆426Updated 3 years ago
• WangYueFt / dcp
  ☆361Updated 2 years ago
• sshaoshuai / Pointnet2.PyTorch
  A faster implementation of PointNet++ based on PyTorch.
  ☆475Updated last year
• DylanWusee / pointconv
  ☆494Updated 5 years ago
• xiaohulugo / PointCloudSegmentation
  A point cloud segmentation algorithm based on clustering analysis
  ☆374Updated 8 months ago
• HuguesTHOMAS / KPConv-PyTorch
  Kernel Point Convolution implemented in PyTorch
  ☆785Updated 3 months ago
• wentaoyuan / pcn
  Code for PCN: Point Completion Network in 3DV'18 (Oral)
  ☆425Updated last year
• chrischoy / FCGF
  Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
  ☆647Updated 3 years ago
• aRI0U / RandLA-Net-pytorch
  PyTorch implementation of RandLA-Net
  ☆345Updated 3 years ago
• vinits5 / learning3d
  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
  ☆726Updated 3 months ago
• chrischoy / DeepGlobalRegistration
  [CVPR 2020 Oral] A differentiable framework for 3D registration
  ☆477Updated last year
• MVIG-SJTU / pointSIFT
  a module for 3D semantic segmentation in point clouds.
  ☆645Updated 5 years ago
• yewzijian / RPMNet
  RPM-Net: Robust Point Matching using Learned Features (CVPR2020)
  ☆351Updated 2 years ago
• QingyongHu / RandLA-Net
  🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
  ☆1,312Updated last year
• mit-han-lab / pvcnn
  [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
  ☆647Updated 2 years ago
• zgojcic / 3D_multiview_reg
  [CVPR2020] Learning multiview 3D point cloud registration
  ☆386Updated 4 years ago
• Yochengliu / Relation-Shape-CNN
  Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
  ☆415Updated 3 years ago
• andyzeng / 3dmatch-toolbox
  3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
  ☆846Updated 10 months ago
• aboulch / ConvPoint
  ☆188Updated 3 years ago
• dvlab-research / PointGroup
  PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
  ☆389Updated 3 months ago
• laughtervv / SGPN
  SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018
  ☆268Updated 5 years ago
• alexsax / 2D-3D-Semantics
  The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding
  ☆475Updated 5 years ago
• leomariga / pyRANSAC-3D
  A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
  ☆565Updated last year