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Prior Image-Constrained Reconstruction using Style-Based Generative
  Models

Prior Image-Constrained Reconstruction using Style-Based Generative Models

24 February 2021
Varun A. Kelkar
M. Anastasio
ArXivPDFHTML

Papers citing "Prior Image-Constrained Reconstruction using Style-Based Generative Models"

12 / 12 papers shown
Title
A Trust-Guided Approach to MR Image Reconstruction with Side Information
A Trust-Guided Approach to MR Image Reconstruction with Side Information
Arda Atalık
S. Chopra
D. Sodickson
28
0
0
06 Jan 2025
Latent Space Imaging
Latent Space Imaging
Matheus Souza
Yidan Zheng
Kaizhang Kang
Yogeshwar Nath Mishra
Qiang Fu
Wolfgang Heidrich
57
0
0
09 Jul 2024
Deep Injective Prior for Inverse Scattering
Deep Injective Prior for Inverse Scattering
AmirEhsan Khorashadizadeh
Vahid Khorashadi-Zadeh
Sepehr Eskandari
Guy A. E. Vandenbosch
Ivan Dokmanić
18
7
0
08 Jan 2023
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for
  Inverse Problems
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems
Giannis Daras
Y. Dagan
A. Dimakis
C. Daskalakis
BDL
31
15
0
18 Jun 2022
Evaluating Procedures for Establishing Generative Adversarial
  Network-based Stochastic Image Models in Medical Imaging
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging
Varun A. Kelkar
Dimitrios S. Gotsis
F. Brooks
Kyle J. Myers
Prabhat Kc
R. Zeng
M. Anastasio
MedIm
22
1
0
07 Apr 2022
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
MedIm
28
3
0
10 Feb 2022
Differentiable Gaussianization Layers for Inverse Problems Regularized
  by Deep Generative Models
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
Dongzhuo Li
MedIm
35
2
0
07 Dec 2021
Learning stochastic object models from medical imaging measurements by
  use of advanced ambient generative adversarial networks
Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks
Weimin Zhou
Sayantan Bhadra
F. Brooks
Hua Li
M. Anastasio
GAN
MedIm
18
17
0
27 Jun 2021
Intermediate Layer Optimization for Inverse Problems using Deep
  Generative Models
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Giannis Daras
Joseph Dean
A. Jalal
A. Dimakis
DRL
185
83
0
15 Feb 2021
Bayesian Image Reconstruction using Deep Generative Models
Bayesian Image Reconstruction using Deep Generative Models
Razvan V. Marinescu
Daniel Moyer
Polina Golland
OOD
DiffM
21
39
0
08 Dec 2020
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
540
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
279
10,348
0
12 Dec 2018
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