Alternatives and similar repositories for point-cloud-utils

Users that are interested in point-cloud-utils are comparing it to the libraries listed below

• ranahanocka / point2mesh
  Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
  ☆1,193Updated last year
• yinyunie / 3D-Shape-Analysis-Paper-List
  A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
  ☆954Updated last year
• ErlerPhilipp / points2surf
  Learning Implicit Surfaces from Point Clouds (ECCV 2020)
  ☆495Updated 3 weeks ago
• facebookresearch / DeepSDF
  Learning Continuous Signed Distance Functions for Shape Representation
  ☆1,486Updated 3 years ago
• autonomousvision / convolutional_occupancy_networks
  [ECCV'20] Convolutional Occupancy Networks
  ☆875Updated 2 years ago
• leomariga / pyRANSAC-3D
  A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
  ☆623Updated last year
• vinits5 / learning3d
  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
  ☆829Updated last month
• pmneila / PyMCubes
  Marching cubes (and related tools) for Python
  ☆773Updated last year
• marian42 / mesh_to_sdf
  Calculate signed distance fields for arbitrary meshes
  ☆1,153Updated last year
• neka-nat / probreg
  Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CP…
  ☆924Updated last year
• autonomousvision / occupancy_networks
  This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
  ☆1,622Updated 2 years ago
• isl-org / Open3D-ML
  An extension of Open3D to address 3D Machine Learning tasks
  ☆2,112Updated last month
• cnr-isti-vclab / PyMeshLab
  The open source mesh processing python library
  ☆884Updated last month
• daavoo / pyntcloud
  pyntcloud is a Python library for working with 3D point clouds.
  ☆1,477Updated 5 months ago
• hjwdzh / ManifoldPlus
  ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups
  ☆668Updated 2 years ago
• autonomousvision / shape_as_points
  [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
  ☆620Updated 3 years ago
• andyzeng / tsdf-fusion-python
  Python code to fuse multiple RGB-D images into a TSDF voxel volume.
  ☆1,354Updated 2 years ago
• francisengelmann / PyViz3D
  PyViz3D is a web-based visualizer for 3D objects and point clouds.
  ☆382Updated 8 months ago
• mkazhdan / PoissonRecon
  Poisson Surface Reconstruction
  ☆1,726Updated 3 weeks ago
• hjwdzh / Manifold
  Convert any Triangle Mesh to Watertight Manifold
  ☆665Updated 5 years ago
• LiangliangNan / PolyFit
  Polygonal Surface Reconstruction from Point Clouds (C++ & Python)
  ☆777Updated 4 months ago
• antao97 / PointCloudDatasets
  3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
  ☆479Updated 2 years ago
• stevenygd / PointFlow
  PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
  ☆819Updated last year
• torch-points3d / torch-points3d
  Pytorch framework for doing deep learning on point clouds.
  ☆2,631Updated 2 weeks ago
• XuyangBai / awesome-point-cloud-registration
  A curated list of point cloud registration.
  ☆894Updated last year
• nv-tlabs / NKSR
  [CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
  ☆858Updated 6 months ago
• autonomousvision / differentiable_volumetric_rendering
  This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations wit…
  ☆824Updated 3 years ago
• ThibaultGROUEIX / AtlasNet
  This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The netwo…
  ☆705Updated 2 years ago
• microsoft / O-CNN
  O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
  ☆743Updated 2 years ago
• bluestyle97 / awesome-3d-reconstruction-papers
  A collection of 3D reconstruction papers in the deep learning era.
  ☆889Updated last year