Alternatives and similar repositories for Pointwise-Convolutional-Neural-Network

Users that are interested in Pointwise-Convolutional-Neural-Network are comparing it to the libraries listed below

• OmidPoursaeed / Self_supervised_Learning_Point_Clouds
  Self-supervised Learning of Point Clouds via Orientation Estimation (3DV 2020)
  ☆16Updated 4 years ago
• EnyaHermite / SegGCN
  SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel
  ☆31Updated 5 years ago
• ShiQiu0419 / DRNet
  Dense-Resolution Network for Point Cloud Classification and Segmentation (WACV 2021)
  ☆35Updated 4 years ago
• pumpkinnan / BAN
  Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds（BAN)
  ☆16Updated 4 years ago
• RayleighChen / point-attention
  ☆14Updated 4 years ago
• lijx10 / rot-equ-net
  Discrete Rotation Equivariance for Point Cloud Recognition. ICRA 2019
  ☆23Updated 6 years ago
• ftdlyc / KCNet_Pytorch
  Partial implemention of KCNet
  ☆23Updated 6 years ago
• LeonhardFeiner / sparse_rcnn
  Sparse Convolutions for Semantic 3D Instance Segmentation
  ☆10Updated 5 years ago
• ispc-lab / RSKDD-Net
  ☆38Updated 5 years ago
• charlesq34 / flownet3d
  FlowNet3D: Learning Scene Flow in 3D Point Clouds
  ☆10Updated 6 years ago
• RaduAlexandru / lattice_net
  Fast Point Cloud Segmentation Using Permutohedral Lattices
  ☆16Updated 2 years ago
• francisengelmann / DPC
  [ICRA 2020] Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds
  ☆10Updated 4 years ago
• multimodallearning / flownet3d.pytorch
  PyTorch Implementation of FlowNet3D (https://arxiv.org/pdf/1806.01411.pdf)
  ☆15Updated 6 years ago
• 96lives / ssen
  Code for Spatial Semantic Embedding Network:Fast 3D Instance Segmentation with Deep Metric Learning
  ☆41Updated 2 years ago
• hekmak / Conf-net
  Predicting Depth Completion Error-Map For High-Confidence Dense 3D Point-Cloud
  ☆34Updated 5 years ago
• leondelee / PointGCN
  ☆11Updated 2 years ago
• LinZhuoChen / LSANet
  The official implementation of paper: LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer in tensorflow
  ☆29Updated 6 years ago
• chrischoy / HighDimConvNets
  [CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition
  ☆40Updated 4 years ago
• valeoai / LightConvPoint
  ☆66Updated 4 years ago
• minghanz / DepthC3D
  Monocular depth estimation from a single image
  ☆21Updated 5 years ago
• shishenghuang / SVNet_jittor
  ☆15Updated 4 years ago
• hwcao17 / ASAP-Net
  Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"
  ☆31Updated 4 years ago
• ModelBunker / StarNet-PyTorch
  StarNet: Targeted Computation for Object Detection in Point Clouds
  ☆13Updated 5 years ago
• axeber01 / point-tnt
  Official implementation of the Point Transformer-in-Transformer: https://arxiv.org/abs/2204.03957
  ☆17Updated 3 years ago
• masszhou / second_lite
  object detection with lidar point cloud, with real-time performance. This is a simplified version of SECOND project by Yan Yan
  ☆16Updated 5 years ago
• dgriffiths3 / finding-your-center
  Public repository for paper "Finding Your (3D) Center: 3D object detection using a learned loss"
  ☆17Updated 3 years ago
• cuge1995 / ECCV-2020-point-cloud-analysis
  ECCV 2020 papers focusing on point cloud analysis
  ☆22Updated 4 years ago
• minzhang-1 / PointHop2
  PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
  ☆18Updated 5 years ago
• TerenceCYJ / 4DContrast
  4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding, ECCV 2022
  ☆17Updated 3 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