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Bayesian Image Reconstruction using Deep Generative Models
v1v2v3v4v5 (latest)

Bayesian Image Reconstruction using Deep Generative Models

8 December 2020
Razvan Marinescu
Daniel Moyer
Polina Golland
    OODDiffM
ArXiv (abs)PDFHTML

Papers citing "Bayesian Image Reconstruction using Deep Generative Models"

27 / 27 papers shown
Briding Diffusion Posterior Sampling and Monte Carlo methods: a survey
Briding Diffusion Posterior Sampling and Monte Carlo methods: a survey
Yazid Janati
Alain Durmus
Jimmy Olsson
Eric Moulines
138
0
0
15 Oct 2025
COT-AD: Cotton Analysis Dataset
COT-AD: Cotton Analysis DatasetInternational Conference on Information Photonics (ICIP), 2025
Akbar Ali
Mahek Vyas
Soumyaratna Debnath
Chanda Grover Kamra
Jaidev Sanjay Khalane
Reuben Shibu Devanesan
Indra Deep Mastan
Subramanian Sankaranarayanan
Pankaj Khanna
Shanmuganathan Raman
171
1
0
24 Jul 2025
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior
Liangyan Li
Yimo Ning
Kevin Le
Wei Dong
Yunzhe Li
Jun Chen
Xiaohong Liu
270
0
0
19 Jun 2025
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-ResolutionAAAI Conference on Artificial Intelligence (AAAI), 2025
Zihao He
Shengchuan Zhang
R. Hu
Chunjiang Ge
Yujiao Shi
DiffM
317
3
0
04 Apr 2025
MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery
MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery
Lianping Yang
Peng Jiao
Jinshan Pan
Hegui Zhu
Su Guo
204
0
0
27 Feb 2025
Safety Monitoring of Machine Learning Perception Functions: a Survey
Safety Monitoring of Machine Learning Perception Functions: a SurveyInternational Conference on Climate Informatics (ICCI), 2024
Raul Sena Ferreira
Joris Guérin
Kevin Delmas
Jérémie Guiochet
H. Waeselynck
471
7
0
09 Dec 2024
Reconstructing Interpretable Features in Computational Super-Resolution
  microscopy via Regularized Latent Search
Reconstructing Interpretable Features in Computational Super-Resolution microscopy via Regularized Latent Search
Marzieh Gheisari
Auguste Genovesio
197
0
0
29 May 2024
Report on the AAPM Grand Challenge on deep generative modeling for
  learning medical image statistics
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statisticsMedical Physics (Lancaster) (MPL), 2024
Rucha Deshpande
Varun A. Kelkar
Dimitrios S. Gotsis
Prabhat Kc
Rongping Zeng
Kyle J. Myers
F. Brooks
M. Anastasio
MedIm
219
5
0
03 May 2024
Universal Functional Regression with Neural Operator Flows
Universal Functional Regression with Neural Operator Flows
Yaozhong Shi
Angela F. Gao
Zachary E. Ross
Kamyar Azizzadenesheli
373
7
0
03 Apr 2024
Robustness and Exploration of Variational and Machine Learning
  Approaches to Inverse Problems: An Overview
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
Alexander Auras
Kanchana Vaishnavi Gandikota
Hannah Droege
Michael Moeller
AAML
287
1
0
19 Feb 2024
Super-Resolution through StyleGAN Regularized Latent Search: A
  Realism-Fidelity Trade-off
Super-Resolution through StyleGAN Regularized Latent Search: A Realism-Fidelity Trade-off
Marzieh Gheisari
Auguste Genovesio
165
1
0
28 Nov 2023
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion ModelInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Jueqi Wang
J. Levman
W. H. Pinaya
Petru-Daniel Tudosiu
M. Jorge Cardoso
Razvan Marinescu
DiffMMedIm
327
40
0
23 Aug 2023
ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution
ResDiff: Combining CNN and Diffusion Model for Image Super-ResolutionAAAI Conference on Artificial Intelligence (AAAI), 2023
Shuyao Shang
Zhengyang Shan
Guangxing Liu
LunQian Wang
XingHua Wang
Zekai Zhang
Jingling Zhang
DiffM
328
150
0
15 Mar 2023
Robust Unsupervised StyleGAN Image Restoration
Robust Unsupervised StyleGAN Image RestorationComputer Vision and Pattern Recognition (CVPR), 2023
Yohan Poirier-Ginter
Jean-François Lalonde
326
25
0
13 Feb 2023
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image
  Fusion
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image FusionEuropean Conference on Computer Vision (ECCV), 2022
Fabian Duffhauss
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
172
10
0
22 Sep 2022
Semantic uncertainty intervals for disentangled latent spaces
Semantic uncertainty intervals for disentangled latent spacesNeural Information Processing Systems (NeurIPS), 2022
S. Sankaranarayanan
Anastasios Nikolas Angelopoulos
Stephen Bates
Yaniv Romano
Phillip Isola
UQCV
373
26
0
20 Jul 2022
Diverse super-resolution with pretrained deep hiererarchical VAEs
Diverse super-resolution with pretrained deep hiererarchical VAEs
Jean Prost
Antoine Houdard
Andrés Almansa
Nicolas Papadakis
DiffM
430
0
0
20 May 2022
Conditional Injective Flows for Bayesian Imaging
Conditional Injective Flows for Bayesian ImagingIEEE Transactions on Computational Imaging (TCI), 2022
AmirEhsan Khorashadizadeh
K. Kothari
Leonardo Salsi
Ali Aghababaei Harandi
Maarten V. de Hoop
Ivan Dokmanić
MedIm
443
17
0
15 Apr 2022
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided
  Adversarial Learning
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning
Chang-Hwan Oh
Wonjune Cho
Daehee Park
Yujeong Chae
Lin Wang
Kuk-Jin Yoon
3DVMDE
197
29
0
12 Dec 2021
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
401
2
0
07 Dec 2021
Score-based diffusion models for accelerated MRI
Score-based diffusion models for accelerated MRI
Hyungjin Chung
Jong Chul Ye
DiffMMedIm
664
528
0
08 Oct 2021
StyleGAN-induced data-driven regularization for inverse problems
StyleGAN-induced data-driven regularization for inverse problemsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Arthur Conmy
Subhadip Mukherjee
Carola-Bibiane Schönlieb
GAN
200
4
0
07 Oct 2021
Image Inpainting using Partial Convolution
Image Inpainting using Partial Convolution
Harsh Patel
A. Kulkarni
Shivam Sahni
Udit Vyas
172
3
0
19 Aug 2021
CAFLOW: Conditional Autoregressive Flows
CAFLOW: Conditional Autoregressive FlowsFoundations of Data Science (FODS), 2021
Georgios Batzolis
M. Carioni
Christian Etmann
S. Afyouni
Zoe Kourtzi
Carola Bibiane Schönlieb
173
4
0
04 Jun 2021
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive
  flow-based deep generative model for ultra sparse-view computed tomography in
  ultra low-dose protocols
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols
Hisaichi Shibata
S. Hanaoka
Y. Nomura
Takahiro Nakao
T. Takenaga
Naoto Hayashi
O. Abe
MedIm
187
2
0
09 Apr 2021
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks:
  Theory, Methods, and Algorithms
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and AlgorithmsSIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021
M. Holden
Marcelo Pereyra
K. Zygalakis
MedIm
249
39
0
18 Mar 2021
Prior Image-Constrained Reconstruction using Style-Based Generative
  Models
Prior Image-Constrained Reconstruction using Style-Based Generative ModelsInternational Conference on Machine Learning (ICML), 2021
Varun A. Kelkar
M. Anastasio
249
32
0
24 Feb 2021
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