Alternatives and similar repositories for pyGCO

Users that are interested in pyGCO are comparing it to the libraries listed below

• yujiali / pygco
  A python wrapper for gco-v3.0 package, used for graph cuts based MRF optimization.
  ☆56Updated 6 years ago
• Lingjing324 / PR-Net
  Non-Rigid Point Set Registration Networks
  ☆54Updated 6 years ago
• matheusgadelha / ShapeRecDeepPrior
  Repository for the ICCV 2019 paper Shape Reconstruction using Differentiable Projections and Deep Priors
  ☆26Updated 5 years ago
• hjwdzh / TextureNet
  TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
  ☆96Updated 6 years ago
• zouchuhang / Silhouette-Guided-3D
  PyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion
  ☆40Updated 4 years ago
• amueller / gco_python
  Python wrappers for GCO alpha-expansion and alpha-beta-swaps
  ☆138Updated 4 years ago
• tiangeluo / Learning-to-Group
  A zero-shot segmentation framework for 3D shapes.
  ☆38Updated last year
• matanatz / pcnn
  Point Convolutional Neural Networks by Extension Operators
  ☆57Updated 5 years ago
• davidstutz / cvpr2018-shape-completion
  CVPR 2018 paper "Learning 3D Shape Completion from Laser Scan Data with Weak Supervision".
  ☆62Updated 6 years ago
• lmb-freiburg / what3d
  What Do Single-view 3D Reconstruction Networks Learn?
  ☆100Updated 5 years ago
• dbworth / pcl_binvox
  Convert between binvox binary voxel and PCD file formats, for PCL (PointCloud Library).
  ☆35Updated 8 years ago
• wang-ps / O-CNN
  This repository contains the code of our O-CNN paper.
  ☆39Updated 6 years ago
• griegler / pyrender
  ☆29Updated 6 years ago
• shubhtuls / stn3d
  3D Spatial Transformer Network
  ☆16Updated 8 years ago
• fwilliams / deep-geometric-prior
  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
  ☆138Updated last year
• OshriHalimi / shape_completion
  ☆28Updated last year
• leoshine / Spherical_Regression
  PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
  ☆149Updated 3 years ago
• ndrplz / differentiable-renderer
  Rastering algorithm to approximate the rendering of a 3D model silhouette in a fully differentiable way.
  ☆82Updated 6 years ago
• kalo-ai / ShapePFCN
  Shape Projective Fully Convolutional Network
  ☆85Updated 7 months ago
• chrischoy / open-ucn
  The first fully convolutional metric learning for geometric/semantic image correspondences.
  ☆87Updated 3 years ago
• yindaz / surface_normal
  3D surface normal estimation from a single image
  ☆61Updated 7 years ago
• mjiUST / SurfaceNet-plus
  2020 TPAMI, SurfaceNet+ is a volumetric learning framework for the very sparse MVS. The sparse-MVS benchmark is maintained here. Authors:…
  ☆78Updated 4 years ago
• dmsm / DeepParametricShapes
  Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.
  ☆54Updated 4 years ago
• jgwak / McRecon
  Weakly supervised 3D Reconstruction with Adversarial Constraint
  ☆79Updated 7 years ago
• Gorilla-Lab-SCUT / SkeletonNet
  Code and datasets for TPAMI 2021 "SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from R…
  ☆49Updated 3 years ago
• nnaisense / pytorch_sym3eig
  Pytorch extension: Batch-wise eigencomputation for symmetric 3x3 matrices
  ☆19Updated 3 years ago
• OshriHalimi / unsupervised_learning_of_dense_shape_correspondence
  ☆82Updated 4 years ago
• zorah / KernelMatching
  Implementation of Efficient Deformable Shape Correspondence via Kernel Matching (https://arxiv.org/abs/1707.08991).
  ☆48Updated 7 years ago
• justanhduc / graphx-conv
  Official implementation of GraphX-Convolution
  ☆62Updated 4 years ago
• JonasSchult / dcm-net
  This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Co…
  ☆125Updated 2 years ago