Alternatives and similar repositories for curvature-calculation-python

Users that are interested in curvature-calculation-python are comparing it to the libraries listed below

• gyshgx868 / feature-graph-learning
  The official MATLAB implementation of the paper "Feature Graph Learning for 3D Point Cloud Denoising".
  ☆24Updated 4 years ago
• antao97 / UnsupervisedPointCloudReconstruction
  Experiments on unsupervised point cloud reconstruction.
  ☆172Updated 3 years ago
• luost26 / DMRDenoise
  Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
  ☆131Updated 4 years ago
• orendv / learning_to_sample
  A learned sampling approach for point clouds (CVPR 2019)
  ☆183Updated last year
• MarcSchotman / skeletons-from-poincloud
  ☆50Updated 6 years ago
• feiran-l / rotation-invariant-pointcloud-analysis
  pointcloud analysis
  ☆23Updated 2 years ago
• sangmin-park0 / BoundaryTest
  Computationally efficient algorithm that identifies boundary points of a point cloud.
  ☆14Updated 3 years ago
• antao97 / PointCloudSegmentation
  Experiments on point cloud segmentation.
  ☆25Updated 3 years ago
• phermosilla / TotalDenoising
  Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
  ☆75Updated 2 years ago
• paulguerrero / pcpnet
  Pytorch implementation of PCPNet
  ☆187Updated 6 years ago
• valeoai / LightConvPoint
  ☆66Updated 4 years ago
• pmkalshetti / fast_point_cloud_sampling
  Fast point cloud sampling using graph signal processing.
  ☆25Updated 5 years ago
• MingyeXu / Curcatures-estimation-on-point-clouds
  Calculate the curvature of every point in he discrete point cloud and visualize the data from ModelNet40.(http://modelnet.cs.princeton.ed…
  ☆14Updated 7 years ago
• diegovalsesia / GPDNet
  Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)
  ☆31Updated 5 years ago
• torch-points3d / torch-points-kernels
  Pytorch kernels for spatial operations on point clouds
  ☆102Updated last month
• luost26 / score-denoise
  Score-Based Point Cloud Denoising (ICCV 2021)
  ☆206Updated 3 years ago
• jzengust / ldmm_graph_laplacian_pointcloud_denoise
  3D point cloud denoising using graph Laplacian regularization of a low dimensional manifold model
  ☆38Updated 6 years ago
• unknownue / pdflow
  PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows (ECCV 2022)
  ☆27Updated 3 years ago
• jingdao / learn_region_grow
  LRGNet: Learnable Region Growing for Point Cloud Segmentation
  ☆50Updated 2 years ago
• tolgabirdal / qecnetworks
  Official implementation of the ECCV 2020 Oral Paper "Quaternion Equivariant Capsule Networks for 3D Point Clouds"
  ☆45Updated 3 years ago
• zxy-bjtu / PointCloudToolBox
  Point cloud processing tool library.
  ☆92Updated 4 years ago
• vinits5 / pcrnet_pytorch
  This is a pytorch implementation of PCRNet
  ☆86Updated last year
• lynetcha / completion3d
  Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cl…
  ☆239Updated 2 years ago
• XuyangBai / FoldingNet
  PyTorch reimplementation of FoldingNet
  ☆38Updated 6 years ago
• wentaoyuan / deepgmr
  PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)
  ☆161Updated 5 years ago
• NNU-GISA / TreeGAN
  3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
  ☆51Updated 6 years ago
• robotic-vision-lab / Progressive-Conditional-Generative-Adversarial-Network
  Progressive conditional generative adversarial network for generating dense and colored 3D point clouds.
  ☆26Updated 3 weeks ago
• taiya / rosa
  Curve-skeleton Extraction from Incomplete Point Cloud
  ☆90Updated 5 years ago
• RaminHasibi / SA_Net
  Implementation of The paper SA_Net for point cloud completion
  ☆32Updated 5 years ago
• WuzhaoLee / GADH_Net_EA
  A Geometry-Attentional Network for ALS Point Cloud Classification
  ☆24Updated 5 years ago