Compressed Sensing with Deep Image Prior and Learned Regularization

17 June 2018

Papers citing "Compressed Sensing with Deep Image Prior and Learned Regularization"

50 / 84 papers shown

Title
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 33 0 0 08 Jan 2025
Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Abeer Banerjee S. Singh 61 0 0 27 Nov 2024
Generalized Eigenvalue Problems with Generative Priors Zhaoqiang Liu Wen Li Junren Chen 35 0 0 02 Nov 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling Noam Elata T. Michaeli Michael Elad DiffM MedIm 29 9 0 11 Jul 2024
Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters Xiwen Chen Wenhui Zhu Peijie Qiu Abolfazl Razi 32 0 0 05 May 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 67 1 0 08 Apr 2024
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise Xi Chen Zhewen Hou Christopher A. Metzler A. Maleki S. Jalali 28 5 0 23 Feb 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 31 0 0 19 Feb 2024
ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining Ruoxi Shi Xinyue Wei Cheng Wang Hao Su 25 16 0 14 Dec 2023
Training-free Linear Image Inverses via Flows Ashwini Pokle Matthew Muckley Ricky T. Q. Chen Brian Karrer 11 20 0 25 Sep 2023
Compressive Sensing with Tensorized Autoencoder Rakib Hyder M. Salman Asif 16 0 0 10 Mar 2023
Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography Hyoung Suk Park Chang Min Hyun J.K. Seo 8 1 0 03 Mar 2023
$Learning Trees of $\ell_0$-Minimization Problems$ Learning Trees of $\ell_0$ -Minimization Problems G. Welper 18 0 0 06 Feb 2023
RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging Shiyun Zhou Tingfa Xu Shaocong Dong Jianan Li 17 12 0 06 Feb 2023
Residual Back Projection With Untrained Neural Networks Ziyu Shu A. Entezari MedIm 11 7 0 26 Oct 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 31 4 0 25 Oct 2022
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks Dave Van Veen Rogier van der Sluijs Batu Mehmet Ozturkler Arjun D Desai Christian Blüthgen ... Gordon Wetzstein David B. Lindell S. Vasanawala John M. Pauly Akshay S. Chaudhari SupR MedIm 23 7 0 17 Oct 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 38 4 0 11 Oct 2022
MetaDIP: Accelerating Deep Image Prior with Meta Learning Kevin Zhang Mingyang Xie Maharshi Gor Yi-Ting Chen Yvonne Zhou Christopher A. Metzler AI4CE 18 5 0 18 Sep 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 27 28 0 29 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 38 11 0 31 May 2022
A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction Qiaoqiao Ding Hui Ji Yuhui Quan Xiaoqun Zhang OOD 8 5 0 01 May 2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage Zhuohang Li Jiaxin Zhang Lu Liu Jian-Dong Liu FedML 22 114 0 29 Mar 2022
Generative Principal Component Analysis Zhaoqiang Liu Jiulong Liu Subhro Ghosh Jun Han Jonathan Scarlett 30 13 0 18 Mar 2022
A Note on Machine Learning Approach for Computational Imaging Bin Dong 17 0 0 24 Feb 2022
Early Stopping for Deep Image Prior Hengkang Wang Taihui Li Zhong Zhuang Tiancong Chen Hengyue Liang Ju Sun 18 62 0 11 Dec 2021
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models Dongzhuo Li MedIm 35 2 0 07 Dec 2021
Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms Liam Burrows Ke-long Chen F. Torella 14 0 0 01 Dec 2021
Beyond Independent Measurements: General Compressed Sensing with GNN Application Alireza Naderi Y. Plan 23 4 0 30 Oct 2021
Variational framework for partially-measured physical system control: examples of vision neuroscience and optical random media Babak Rahmani D. Psaltis C. Moser VGen DRL 21 1 0 25 Oct 2021
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision J. Suo Weihang Zhang Jin Gong Xin Yuan D. Brady Qionghai Dai 37 23 0 18 Sep 2021
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors Zhaoqiang Liu Subhro Ghosh J. Han Jonathan Scarlett 35 5 0 08 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 23 34 0 22 Jul 2021
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors Zhaoqiang Liu Subhro Ghosh Jonathan Scarlett 16 17 0 29 Jun 2021
Data augmentation for deep learning based accelerated MRI reconstruction with limited data Zalan Fabian Reinhard Heckel Mahdi Soltanolkotabi OOD MedIm 6 51 0 28 Jun 2021
Generative Model Adversarial Training for Deep Compressed Sensing Ashkan Esmaeili GAN 15 0 0 20 Jun 2021
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models Viraj Shah Rakib Hyder M. Salman Asif C. Hegde 9 2 0 13 May 2021
Deep Chaos Synchronization M. Mobini Georges Kaddoum 9 8 0 17 Apr 2021
Understanding Overparameterization in Generative Adversarial Networks Yogesh Balaji M. Sajedi N. Kalibhat Mucong Ding Dominik Stöger Mahdi Soltanolkotabi S. Feizi AI4CE 14 21 0 12 Apr 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 38 225 0 23 Mar 2021
Untrained networks for compressive lensless photography Kristina Monakhova V. Tran Grace Kuo Laura Waller 31 28 0 13 Mar 2021
Non-Convex Compressed Sensing with Training Data G. Welper 12 1 0 20 Jan 2021
Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction Yubao Sun Ying Yang Qingshan Liu Mohan S. Kankanhalli 17 20 0 18 Dec 2020
Neural Radiance Flow for 4D View Synthesis and Video Processing Yilun Du Yinan Zhang Hong-Xing Yu J. Tenenbaum Jiajun Wu AI4CE 25 268 0 17 Dec 2020
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 26 315 0 15 Dec 2020
On hallucinations in tomographic image reconstruction Sayantan Bhadra Varun A. Kelkar F. Brooks M. Anastasio 17 98 0 01 Dec 2020
Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting Zhaodong Sun Thomas Sanchez Fabian Latorre V. Cevher SupR 14 26 0 03 Nov 2020
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms Yanna Bai Wei-Neng Chen Jie Chen Weisi Guo 29 66 0 27 Jul 2020
DeepInit Phase Retrieval M. Reiche P. Jung 21 3 0 16 Jul 2020
Accelerated MRI with Un-trained Neural Networks Mohammad Zalbagi Darestani Reinhard Heckel 11 4 0 06 Jul 2020