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Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

27 October 2020

Papers citing "Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging"

43 / 43 papers shown

Title
From Pixels to Graphs: using Scene and Knowledge Graphs for HD-EPIC VQA Challenge Agnese Taluzzi Davide Gesualdi Riccardo Santambrogio Chiara Plizzari Francesca Palermo S. Mentasti Matteo Matteucci GNN 49 2 0 10 Jun 2025
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Jeffrey Wen Rizwan Ahmad Philip Schniter 91 0 0 14 May 2025
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV MedIm 88 0 0 10 Apr 2025
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation Tianyu Chen Yasi Zhang Ziyi Wang Ying Nian Wu Oscar Leong Mingyuan Zhou DiffM 155 2 0 10 Mar 2025
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization Matthew Bendel Rizwan Ahmad P. Schniter MedIm DiffM 82 1 0 01 Nov 2024
Physics and Deep Learning in Computational Wave Imaging Youzuo Lin Shihang Feng J. Theiler Yinpeng Chen Umberto Villa Jing Rao John Greenhall Cristian Pantea M. Anastasio B. Wohlberg 63 1 0 10 Oct 2024
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems Hongkai Zheng Wenda Chu Austin Wang Nikola B. Kovachki Ricardo Baptista Yisong Yue 103 6 0 30 Sep 2024
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems Gabriel Missael Barco Alexandre Adam Connor Stone Y. Hezaveh Laurence Perreault Levasseur OOD 77 4 0 24 Jul 2024
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing Bingliang Zhang Wenda Chu Julius Berner Chenlin Meng Anima Anandkumar Yang Song DiffM 123 46 0 01 Jul 2024
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations Weimin Bai Yifei Wang Wenzheng Chen He Sun 113 11 0 01 Jul 2024
Conditional score-based diffusion models for solving inverse problems in mechanics Agnimitra Dasgupta Harisankar Ramaswamy Javier Murgoitio-Esandi Ken Foo Runze Li Qifa Zhou Brendan Kennedy Assad A. Oberai DiffM MedIm 103 4 0 19 Jun 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors Zihui Wu Yu Sun Yifan Chen Bingliang Zhang Yisong Yue Katherine Bouman DiffM 111 33 0 29 May 2024
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems Rafael Orozco Ali Siahkoohi M. Louboutin Felix J. Herrmann 74 2 0 08 May 2024
Universal Functional Regression with Neural Operator Flows Yaozhong Shi Angela F. Gao Zachary E. Ross Kamyar Azizzadenesheli 104 5 0 03 Apr 2024
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Zhang DiffM 116 5 0 25 Mar 2024
VisRec: A Semi-Supervised Approach to Radio Interferometric Data Reconstruction Ruoqing Wang Haitao Wang Qiong Luo Feng Wang Hejun Wu 33 0 0 01 Mar 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 74 0 0 19 Feb 2024
Mixed Noise and Posterior Estimation with Conditional DeepGEM Paul Hagemann J. Hertrich Maren Casfor Sebastian Heidenreich Gabriele Steidl 83 0 0 05 Feb 2024
On the Quantification of Image Reconstruction Uncertainty without Training Data Sirui Bi Victor Fung Jiaxin Zhang 53 1 0 16 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 90 12 0 22 Oct 2023
Provable Probabilistic Imaging using Score-Based Generative Priors Yu Sun Zihui Wu Yifan Chen Berthy Feng Katherine Bouman DiffM 103 35 0 16 Oct 2023
Uncertainty Quantification in Inverse Models in Hydrology Somya Sharma Chatterjee Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber Christopher J. Duffy Vipin Kumar 122 0 0 03 Oct 2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 120 7 0 09 Sep 2023
PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation Ruoqing Wang Zhu-xue Chen Jiayi Zhu Qiong Luo Feng Wang 58 1 0 28 Aug 2023
Self-Supervised Scalable Deep Compressed Sensing Bin Chen Xuanyu Zhang Shuai Liu Yongbing Zhang Jian Zhang 66 5 0 26 Aug 2023
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey Xin Li Yulin Ren Xin Jin Cuiling Lan Xingyu Wang Wenjun Zeng Xinchao Wang Zhibo Chen 104 87 0 18 Aug 2023
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction Ruoqing Wang Zhu-xue Chen Qiong Luo Feng Wang DiffM 60 6 0 16 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine Bouman William T. Freeman DiffM 176 98 0 23 Apr 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 78 7 0 08 Jan 2023
Deep Variational Inverse Scattering AmirEhsan Khorashadizadeh A. Aghababaei Tin Vlavsić Hieu Nguyen Ivan Dokmanić BDL UQCV 78 3 0 08 Dec 2022
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling Jiaxin Zhang Sirui Bi Victor Fung 75 3 0 02 Dec 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems Matthew Bendel Rizwan Ahmad Philip Schniter MedIm 108 6 0 24 Oct 2022
Probabilistic Inverse Modeling: An Application in Hydrology Somya Sharma Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber C. Duffy Vipin Kumar AI4CE 89 1 0 12 Oct 2022
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV 107 12 0 02 Jul 2022
Conditional Injective Flows for Bayesian Imaging AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 78 16 0 15 Apr 2022
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 82 3 0 10 Feb 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 51 15 0 20 Jan 2022
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 94 25 0 24 Nov 2021
Uncertainty quantification for ptychography using normalizing flows Agnimitra Dasgupta Z. Di AI4CE 69 5 0 01 Nov 2021
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows Michael Puthawala Matti Lassas Ivan Dokmanić Maarten V. de Hoop 102 13 0 08 Oct 2021
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian Dalca Yisong Yue Katherine Bouman 87 20 0 13 May 2021
Trumpets: Injective Flows for Inference and Inverse Problems K. Kothari AmirEhsan Khorashadizadeh Maarten V. de Hoop Ivan Dokmanić TPM 56 50 0 20 Feb 2021
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 109 32 0 11 Jan 2021