ResearchTrend.AI
PHom-GeM: Persistent Homology for Generative Models

PHom-GeM: Persistent Homology for Generative Models

Jérémy Charlier
R. State
Jean Hilger
    GAN
ArXivPDFHTML

Papers citing "PHom-GeM: Persistent Homology for Generative Models"

3 / 3 papers shown
Title
Towards Scalable Topological Regularizers
Towards Scalable Topological Regularizers
Hiu-Tung Wong
Darrick Lee
Hong Yan
BDL
67
0
0
24 Jan 2025
Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
Yair Schiff
Vijil Chenthamarakshan
Karthikeyan N. Ramamurthy
Payel Das
BDL
29
6
0
18 Oct 2020
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
J. Clough
Nicholas Byrne
Ilkay Oksuz
Zhenzhong Lan
Julia A. Schnabel
A. King
36
219
0
04 Oct 2019