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NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
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NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries

Qijian Zhang
Xianqiang Lyu
Y. Adikusuma
Wenping Wang
Ying He
ArXiv (abs)PDFHTMLGithub (46★)

Papers citing "NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries"

3 / 3 papers shown
Title
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Louis Bethune
David Vigouroux
Yilun Du
Rufin VanRullen
Thomas Serre
Victor Boutin
DiffM
173
1
0
23 May 2025
Neural Trajectory Model: Implicit Neural Trajectory Representation for Trajectories Generation
Neural Trajectory Model: Implicit Neural Trajectory Representation for Trajectories Generation
Zihan Yu
Yuqing Tang
100
1
0
02 Feb 2024
Learning the Geodesic Embedding with Graph Neural Networks
Learning the Geodesic Embedding with Graph Neural Networks
Bo Pang
Zhongtian Zheng
Guoping Wang
Peng-Shuai Wang
GNN
87
8
0
11 Sep 2023

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