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Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems

Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems

Sayantan Bhadra
Umberto Villa
M. Anastasio
ArXivPDFHTML

Papers citing "Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems"

5 / 5 papers shown
Title
Conditional Injective Flows for Bayesian Imaging
Conditional Injective Flows for Bayesian Imaging
AmirEhsan Khorashadizadeh
K. Kothari
Leonardo Salsi
Ali Aghababaei Harandi
Maarten V. de Hoop
Ivan Dokmanić
MedIm
26
16
0
15 Apr 2022
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
K. Schutte
O. Moindrot
P. Hérent
Jean-Baptiste Schiratti
S. Jégou
FAtt
MedIm
39
60
0
19 Jan 2021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
194
541
0
08 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,368
0
12 Dec 2018
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GAN
AI4CE
89
206
0
10 Jun 2018