Alternatives and similar repositories for vnn

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

• krrish94 / chamferdist
  Pytorch package to compute Chamfer distance between point sets (pointclouds).
  ☆347Updated last year
• nintendops / EPN_PointCloud
  PyTorch implementation for the paper Equivariant Point Network for 3D Point Cloud Analysis (CVPR2021).
  ☆114Updated 2 years ago
• tolgabirdal / Mitsuba2PointCloudRenderer
  rendering (optionally temporal) point clouds using Mitsuba2
  ☆164Updated last year
• KinglittleQ / torch-batch-svd
  A 100x faster SVD for PyTorch⚡️
  ☆483Updated 3 years ago
• zekunhao1995 / PointFlowRenderer
  Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"
  ☆406Updated 6 years ago
• leonardodalinky / fpsample
  Python efficient farthest point sampling (FPS) library. Compatible with numpy.
  ☆157Updated this week
• stevenygd / PointFlow
  PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
  ☆838Updated last year
• chrdiller / pyTorchChamferDistance
  Implementation of the Chamfer Distance as a module for pyTorch
  ☆302Updated 2 years ago
• RuojinCai / ShapeGF
  Learning Gradient Fields for Shape Generation
  ☆199Updated 4 years ago
• ThibaultGROUEIX / ChamferDistancePytorch
  Chamfer Distance in Pytorch with f-score
  ☆371Updated 4 years ago
• daerduoCarey / PyTorchEMD
  PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
  ☆310Updated 2 years ago
• autonomousvision / shape_as_points
  [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
  ☆625Updated 3 years ago
• naver / roma
  RoMa: A lightweight library to deal with 3D rotations in PyTorch.
  ☆618Updated 3 months ago
• francisengelmann / PyViz3D
  PyViz3D is a web-based visualizer for 3D objects and point clouds.
  ☆393Updated 11 months ago
• luost26 / diffusion-point-cloud
  Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
  ☆763Updated 9 months ago
• facebookresearch / PointContrast
  Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>
  ☆347Updated 4 years ago
• anthonysimeonov / ndf_robot
  Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"
  ☆237Updated 3 years ago
• otaheri / chamfer_distance
  Implementation of the Chamfer Distance as a module for PyTorch
  ☆180Updated 2 years ago
• itailang / SampleNet
  Differentiable Point Cloud Sampling (CVPR 2020 Oral)
  ☆388Updated 2 years ago
• nmwsharp / diffusion-net
  Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
  ☆469Updated 3 years ago
• utiasSTARS / bingham-rotation-learning
  A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
  ☆189Updated last year
• antao97 / PointCloudDatasets
  3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
  ☆493Updated 3 years ago
• amosgropp / IGR
  Implicit Geometric Regularization for Learning Shapes
  ☆436Updated 3 years ago
• unlimblue / KNN_CUDA
  pytorch knn [cuda version]
  ☆310Updated 3 years ago
• daerduoCarey / partnet_dataset
  PartNet Dataset Official Release Repo
  ☆405Updated 2 years ago
• canonical-capsules / canonical-capsules
  Canonical Capsules: Self-Supervised Capsules in Canonical Pose (NeurIPS 2021)
  ☆174Updated 4 years ago
• papagina / RotationContinuity
  Coder for "On the Continuity of Rotation Representations"
  ☆368Updated 5 years ago
• alexzhou907 / PVD
  ☆300Updated last year
• lucidrains / point-transformer-pytorch
  Implementation of the Point Transformer layer, in Pytorch
  ☆600Updated 3 years ago
• wutong16 / Density_aware_Chamfer_Distance
  [ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"
  ☆164Updated 3 years ago