aaroncnu Goto Github PK

geometry-processing-package

Geometry Processing Package

geomfmaps

geomfmaps_pytorch

A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"

graph-based-nn

Graph Convolutional Networks (GCNs)

hks

the matlab code of heat kernel signature

instantrecoveryfromspectrum

instantrecoveryfromspectrumtorch

intrinsic_interpolations

isomush

the official implementation of the paper "Isometric Multi-Shape Matching" (CVPR 2021)

ispm

Intrinsic Spatial Pyramid Matching (ISPM) on 3D meshed surfaces.

laplacian-eigenmaps

Spectral embedding using Laplacian Eigenmaps

learned-triangulation

Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020

learning-to-find-good-correspondences-of-multiple-objects

lf-net-release

Code Release for LF-Net: Learning Local Features from Images

lightgcn

local3ddescriptorlearning

Deep learning local descriptors for 3D surface shapes

machine_learning_practice

maozedonganthology

***选集

matlab-machine-

哔哩哔哩视频代码

mgat

This project is the source code for Multimodal Graph Attention Network(MGAT). The source code will be available on the acceptance of the paper.

mi-gnn

Code for "Meta-Inductive Node Classification across Graphs", in proceeding of SIGIR 2021

neural_surface_maps

Neural Surface Maps

non-rigid-3d-object-retrieval-with-a-learned-shape-descriptor

我的硕士论文“Non-rigid 3D Object Retrieval with a Learned Shape Descriptor”代码

operatornet

optimal-mass-transport

optimaldiffusionkernels

Learn spectral point descriptors for 3D shapes

partial-correspondence-3d-nnf

This repository contains the implementation of my M.Sc. work "Partial Correspondence of 3D Shapes using Properties of the Nearest-Neighbor Field"

pointcnn

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

pointgrid

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space