Using Generative-Adversarial-Networks for unpaired image to image translation

An Open Source Machine Learning Framework for Everyone

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Code release for "learning to find good correspondences" CVPR 2018

adaptive-consensus-maximization-for-rigid-registration

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Open Source Computer Vision Library

Repository for OpenCV's extra modules

[CVPR19] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

pytorch version of PointConv

Matlab code for a fast computation of pairwise geodesic distances on 3D triangle meshes, and on point clouds of any dimension

Point Cloud Library (PCL)

Alternating Direction Graph Matching (ADGM)

Matlab Code for LMR: Learning for mismatch removal

Betapose for 6D pose estimation

SDRSAC - Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences.

3DN: 3D Deformation Network, CVPR 2019

PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semant…

Python program for a stereo analysis system involving feature-based, region-based and multi-resolution matching.

CVPR Paper - "3D Point Cloud Registration for Localization using a Deep Neural Network Auto-Encoder" - Partial Implementation Code

some algorithms written by c/c++, and linked by my blog.

a modifiedversion of Paper "Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration1057-7149 . 2017 IEEE."

Code for "Learning a Descriptor-Specific 3D Keypoint Detector" and "Learning to detect good 3d keypoints" -ICCV 2015, IJCV 2018

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Locally Linear Transforming