Alternatives and similar repositories for Deep-Learning-On-Point-Clouds

Users that are interested in Deep-Learning-On-Point-Clouds are comparing it to the libraries listed below

• nicolas-chaulet / torch-points3d
  Pytorch framework for doing deep learning on point clouds.
  ☆261Updated 4 years ago
• WeikaiTan / Toronto-3D
  A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
  ☆273Updated last month
• PRBonn / point-cloud-prediction
  Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
  ☆156Updated last year
• Amsterdam-AI-Team / Urban_PointCloud_Processing
  Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.
  ☆190Updated 2 years ago
• humanpose1 / MS-SVConv
  Compute descriptors for 3D point cloud registration using a multi scale sparse voxel architecture
  ☆67Updated 3 years ago
• KangchengLiu / Feature-Geometric-Net-FG-Net
  FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding
  ☆119Updated 2 years ago
• akharroubi / Rail3D
  Rail3D: Multi-Context Point Cloud Dataset and New Approach for Railways Semantic Understanding
  ☆55Updated 10 months ago
• drprojects / DeepViewAgg
  [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for…
  ☆234Updated last year
• anshulpaigwar / GndNet
  GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.
  ☆209Updated 4 years ago
• denabazazian / Edge_Extraction
  Fast and robust algorithm to extract edges in unorganized point clouds
  ☆215Updated 3 years ago
• BerensRWU / DenseMap
  Creates a dense depth map from LiDAR point clouds.
  ☆98Updated 3 years ago
• mrakotosaon / pointcleannet
  ☆278Updated 5 years ago
• SHI-Labs / 3D-Point-Cloud-Learning
  ☆140Updated 4 years ago
• itberrios / 3D
  3D projects
  ☆30Updated 2 years ago
• somanshu25 / GPU-Accelerated-Point-Cloud-Registration-Using-Hierarchical-GMM
  ☆154Updated 6 years ago
• qinzheng93 / Easy-KPConv
  A more easy-to-use implementation of KPConv
  ☆81Updated 3 years ago
• jakarto3d / jakteristics
  Compute point cloud geometric features from python
  ☆107Updated last year
• QingyongHu / SQN
  SQN in Tensorflow (ECCV'2022)
  ☆117Updated 2 years ago
• stevenliu216 / Point-Feature-Histogram
  Python implementation of Point Feature Histogram (PFH) from PCL
  ☆45Updated 3 years ago
• strayrobots / 3d-annotation-tool
  A graphical user interface to annotate point clouds and 3D data.
  ☆88Updated 3 years ago
• chrischoy / DeepGlobalRegistration
  [CVPR 2020 Oral] A differentiable framework for 3D registration
  ☆539Updated 2 years ago
• yewzijian / RegTR
  End-to-end Point Cloud Correspondences with Transformers
  ☆262Updated 2 years ago
• wsunid / awesome-point-clouds-registration
  A list of papers about point clouds registration
  ☆449Updated last year
• PRBonn / deep-point-map-compression
  ☆100Updated 2 years ago
• Chim-SO / pointcloudprocessing
  Code examples of point cloud processing in python.
  ☆56Updated last year
• yuecideng / Multiple_Planes_Detection
  A fast and simple method for multi-planes detection from point cloud
  ☆113Updated 3 years ago
• Shathe / 3D-MiniNet
  Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D…
  ☆182Updated 3 years ago
• chrischoy / FCGF
  Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
  ☆711Updated 4 years ago
• enesgokdemir / visualize-point-clouds
  Introduction to Point Cloud Processing
  ☆45Updated 3 years ago
• qinglew / PointCloudTransformer
  Implementation of PCT(Point Cloud Transformer) in PyTorch.
  ☆53Updated 4 years ago