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Unrolled Optimization with Deep Priors

22 May 2017

Papers citing "Unrolled Optimization with Deep Priors"

50 / 54 papers shown

Title
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 155 0 0 08 Jan 2025
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm Geoffrey Kasenbacher Felix Ehret Gerrit Ecke Sebastian Otte 181 1 0 24 Oct 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 95 1 0 08 Apr 2024
Video Restoration with a Deep Plug-and-Play Prior Antoine Monod J. Delon Matias Tassano Andrés Almansa 99 1 0 06 Sep 2022
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV 107 12 0 02 Jul 2022
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation Arjun D Desai Andrew M Schmidt E. Rubin Christopher M. Sandino Marianne S. Black ... R. Boutin Christopher Ré G. Gold B. Hargreaves Akshay S. Chaudhari 88 65 0 14 Mar 2022
Training Adaptive Reconstruction Networks for Blind Inverse Problems Alban Gossard P. Weiss MedIm 50 6 0 23 Feb 2022
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 67 26 0 16 Jan 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio T. Leiner Pier Luigi Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 181 91 0 23 Dec 2021
Procedural Kernel Networks Bartlomiej Wronski SupR 114 2 0 17 Dec 2021
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 80 20 0 14 Dec 2021
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration Mikael Le Pendu C. Guillemot 72 17 0 01 Oct 2021
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives Guang Yang Jun Lv Yutong Chen Jiahao Huang Jin Zhu MedIm 49 10 0 04 May 2021
Feasibility-based Fixed Point Networks Howard Heaton Samy Wu Fung A. Gibali W. Yin 57 26 0 29 Apr 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 266 237 0 23 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 96 112 0 08 Mar 2021
Memory-efficient Learning for High-Dimensional MRI Reconstruction Ke Wang Michael R. Kellman Christopher M. Sandino Kevin Zhang S. Vasanawala Jonathan I. Tamir Stella X. Yu Michael Lustig MedIm 45 12 0 06 Mar 2021
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior Mario González Andrés Almansa Pauline Tan 92 31 0 02 Mar 2021
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing Danfeng Hong Wei He Naoto Yokoya Jing Yao Lianru Gao Liangpei Zhang Jocelyn Chanussot Xiaoxiang Zhu 57 0 0 02 Mar 2021
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork Chang-Jen Wang Chao-Kai Wen Shang-Ho S. Tsai Shi Jin Geoffrey Ye Li 60 5 0 12 Jan 2021
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 122 327 0 15 Dec 2020
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Hua Huang Carola-Bibiane Schönlieb 74 35 0 18 Nov 2020
Neurally Augmented ALISTA Freya Behrens Jonathan Sauder P. Jung 85 15 0 05 Oct 2020
Unsupervised MRI Reconstruction with Generative Adversarial Networks Elizabeth K. Cole John M. Pauly S. Vasanawala Frank Ong GAN MedIm 62 51 0 29 Aug 2020
Solving Phase Retrieval with a Learned Reference Rakib Hyder Zikui Cai M. Salman Asif 58 24 0 29 Jul 2020
Learning Convex Optimization Models Akshay Agrawal Shane T. Barratt Stephen P. Boyd 70 42 0 07 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 128 537 0 12 May 2020
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing Zhonghao Zhang Yipeng Liu Jiani Liu Fei Wen Ce Zhu 69 212 0 21 Apr 2020
Analysis of Deep Complex-Valued Convolutional Neural Networks for MRI Reconstruction Elizabeth K. Cole Joseph Y. Cheng John M. Pauly S. Vasanawala 61 11 0 03 Apr 2020
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection He Sun Adrian Dalca Katherine Bouman 64 15 0 23 Mar 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Carola-Bibiane Schönlieb Hua Huang 80 105 0 22 Feb 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 128 1,026 0 22 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop Michael R. Kellman Jonathan I. Tamir E. Bostan Michael Lustig Laura Waller SupR 96 58 0 11 Dec 2019
Converged Deep Framework Assembling Principled Modules for CS-MRI Risheng Liu Yuxi Zhang Shichao Cheng Zhongxuan Luo Xin-Yue Fan 33 1 0 29 Oct 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 102 666 0 28 Oct 2019
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model Mario O. Malavé C. Baron Srivathsan P. Koundinyan Christopher M. Sandino Frank Ong Joseph Y. Cheng D. Nishimura 169 42 0 24 Oct 2019
Recent Advances in Imaging Around Corners Tomohiro Maeda Guy Satat Tristan Swedish L. Sinha Ramesh Raskar AAML 59 44 0 12 Oct 2019
Blending Diverse Physical Priors with Neural Networks Yunhao Ba Guangyuan Zhao A. Kadambi PINN AI4CE 57 32 0 01 Oct 2019
Learned reconstructions for practical mask-based lensless imaging Kristina Monakhova Joshua Yurtsever Grace Kuo N. Antipa Kyrollos Yanny Laura Waller 54 110 0 30 Aug 2019
Differentiable Linearized ADMM Xingyu Xie Jianlong Wu Zhisheng Zhong Guangcan Liu Zhouchen Lin 74 62 0 15 May 2019
Data-Driven Design for Fourier Ptychographic Microscopy Michael R. Kellman E. Bostan Michael Chen Laura Waller 55 62 0 08 Apr 2019
Deep Shape from Polarization Yunhao Ba Alex Ross Gilbert Franklin Wang Jinfa Yang Rui Chen Yiqin Wang Lei Yan Boxin Shi A. Kadambi 88 14 0 25 Mar 2019
Neumann Networks for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 78 24 0 13 Jan 2019
Deep Unfolding of a Proximal Interior Point Method for Image Restoration Carla Bertocchi Émilie Chouzenoux M. Corbineau J. Pesquet M. Prato 90 108 0 11 Dec 2018
Multigrid Backprojection Super-Resolution and Deep Filter Visualization Pablo Navarrete Michelini Hanwen Liu Dan Zhu SupR 75 20 0 25 Sep 2018
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems Risheng Liu Shichao Cheng Yi He Xin-Yue Fan Zhouchen Lin Zhongxuan Luo 81 68 0 16 Aug 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 108 72 0 14 Aug 2018
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging Michael R. Kellman E. Bostan N. Repina Laura Waller 124 125 0 10 Aug 2018
Neural Proximal Gradient Descent for Compressive Imaging Morteza Mardani Qingyun Sun Shreyas S. Vasawanala Vardan Papyan Hatef Monajemi John M. Pauly D. Donoho 105 155 0 01 Jun 2018
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering Joseph Y. Cheng Feiyu Chen M. Alley John M. Pauly S. Vasanawala 87 43 0 08 May 2018