XuyangBai

awesome-point-cloud-registration

A curated list of point cloud registration.

TransFusion

[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496

D3Feat

[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

PointDSC

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

D3Feat.pytorch

[PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

PPF-FoldNet

PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322

KPConv.pytorch

PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889

FoldingNet

PyTorch reimplementation of FoldingNet

AdaLAM

AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.

CenterPoint

COMP5212

COMP5212 Machine Learning Programming Assignments

COMP5212Project

CSAPP

<Intro to Computer Systems> Lab

DeepGlobalRegistration

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

Django-Blog

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

magsac

The MAGSAC algorithm for robust model fitting without using an inlier-outlier threshold

OANet

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

oldBlog

My Blog

Open3D

Open3D: A Modern Library for 3D Data Processing

PCA-GM

Code for ICCV 2019 oral paper: Learning Combinatorial Embedding Networks for Deep Graph Matching

point_clouds_registration_benchmark

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Pytorch_GAN

Semantic_Segmentation

Course Project for COMP5421 Computer Vision.

SparseR-CNN

End-to-End Object Detection with Learnable Proposal, CVPR2021

Stereo_Reconstruction

TEASER-plusplus

A fast and robust point cloud registration library

Vision-Centric-BEV-Perception

Vision-Centric BEV Perception: A Survey

XuyangBai.github.io