AmnonDrory

AdGitTest1

BestBuddiesRegistration

Best Buddies Algorithm For Point Clouds Registration

CNNs-With-Label-Noise

code for the paper "The Resistance to Label Noise in K-NN and DNN Depends on its Concentration" by Amnon Drory, Oria Ratzon, Shai Avidan and Raja Giryes

DeepGlobalRegistration

[CVPR 2020 Oral] A differentiable framework for 3D registration

dgcnn

FCGF

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

FCGF_RANSAC

Quickly train FCGF features, and use them to perform fast and accurate registration with RANSAC

LidarRegistration

Project page for "Stress-Testing Point Cloud Registration on Automotive LiDAR" by Amnon Drory, Shai Avidan and Raja Giryes

OverlapPredator.Mink

PointDSC

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

AmnonDrory/LidarRegistration

Project page for "Stress-Testing Point Cloud Registration on Automotive LiDAR" by Amnon Drory, Shai Avidan and Raja Giryes

AmnonDrory/BestBuddiesRegistration

Best Buddies Algorithm For Point Clouds Registration

AmnonDrory/CNNs-With-Label-Noise

code for the paper "The Resistance to Label Noise in K-NN and DNN Depends on its Concentration" by Amnon Drory, Oria Ratzon, Shai Avidan and Raja Giryes

AmnonDrory/AdGitTest1

AmnonDrory/DeepGlobalRegistration

[CVPR 2020 Oral] A differentiable framework for 3D registration

AmnonDrory/dgcnn

AmnonDrory/FCGF

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

AmnonDrory/FCGF_RANSAC

Quickly train FCGF features, and use them to perform fast and accurate registration with RANSAC

AmnonDrory/OverlapPredator.Mink

AmnonDrory/PointDSC

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

AmnonDrory/pytorch-fid

A Port of Fréchet Inception Distance (FID score) to PyTorch