aosheng1996 Goto Github PK

3dfeatnet

3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration

3dlocalmultiviewdesc

Repository for "End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds"

awesome-local-global-descriptor

My personal note about local and global descriptor

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

bevplace

A SOTA LiDAR place recognition method that is rotation-invariant and generalizable.

cgf

Code and data for "Learning Compact Geometric Features"

chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).

cylinder3d

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

d3feat

Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

datasets

This dataset is built for the examination for the performance of textureless objects recognition algorithm

deep-iterative-surface-normal-estimation

Code repository for our paper: Deep Iterative Surface Normal Estimation

deepsphere

A graph-based spherical convolutional neural network (for cosmology)

deepsphere-pytorch

DeepSphere: a graph-based spherical CNN (PyTorch)

dgcnn

fcgf

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

gconv_experiments

Experiments with Group Equivariant Convolutional Networks

knn_cuda

pytorch knn [cuda version]

lorax

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

pointnet2_pytorch

PyTorch implementation of Pointnet2/Pointnet++

ppf-foldnet

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

prin

Pointwise Rotation-Invariant Network

r2d2

relation-shape-cnn

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

tiers-lidars-dataset

Multi-modal multi-lidar dataset

tiers-lidars-dataset-enhanced

torch-batch-svd

A 100x faster SVD for PyTorch⚡️

usip

USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds

vnn

Vector Neurons: A General Framework for SO(3)-Equivariant Networks