Compressed Sensing with Deep Image Prior and Learned Regularization

17 June 2018

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

34 / 84 papers shown

Title
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset Sören Dittmer T. Kluth Mads Thorstein Roar Henriksen Peter Maass 16 18 0 03 Jul 2020
Compressed Sensing via Measurement-Conditional Generative Models Kyungsu Kim J. H. Lee Eunho Yang GAN MedIm 27 3 0 02 Jul 2020
Constant-Expansion Suffices for Compressed Sensing with Generative Priors C. Daskalakis Dhruv Rohatgi Manolis Zampetakis 8 12 0 07 Jun 2020
Regularization of Inverse Problems by Neural Networks Markus Haltmeier Linh V. Nguyen 30 18 0 06 Jun 2020
Learned Factor Graphs for Inference from Stationary Time Sequences Nir Shlezinger Nariman Farsad Yonina C. Eldar Andrea J. Goldsmith 21 24 0 05 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 519 0 12 May 2020
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation Reinhard Heckel Mahdi Soltanolkotabi 6 79 0 07 May 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
BP-DIP: A Backprojection based Deep Image Prior Jenny Zukerman Tom Tirer Raja Giryes SupR 6 18 0 11 Mar 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 26 186 0 10 Mar 2020
Inference in Multi-Layer Networks with Matrix-Valued Unknowns Parthe Pandit Mojtaba Sahraee-Ardakan S. Rangan P. Schniter A. Fletcher 18 6 0 26 Jan 2020
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization M. Aittala Prafull Sharma Lukas Murmann Adam B. Yedidia G. Wornell William T. Freeman F. Durand 13 29 0 05 Dec 2019
Pyramid Convolutional RNN for MRI Image Reconstruction Eric Z. Chen Puyang Wang Xiao Chen Terrence Chen Shanhui Sun 13 41 0 02 Dec 2019
Inference with Deep Generative Priors in High Dimensions Jillian R. Fisher Mojtaba Sahraee-Ardakan S. Rangan Zaid Harchaoui Yejin Choi BDL 17 46 0 08 Nov 2019
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators Reinhard Heckel Mahdi Soltanolkotabi DiffM 27 81 0 31 Oct 2019
Attenuating Random Noise in Seismic Data by a Deep Learning Approach Xing Zhao Ping Lu Yanyan Zhang Jianxiong Chen X. Li 11 2 0 28 Oct 2019
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems Oscar Leong W. Sakla GAN 14 7 0 23 Oct 2019
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems Byeongsu Sim Gyutaek Oh Sungjun Lim Chanyong Jung J. C. Ye GAN MedIm 21 22 0 25 Sep 2019
Learned imaging with constraints and uncertainty quantification Felix J. Herrmann Ali Siahkoohi G. Rizzuti UQCV 22 23 0 13 Sep 2019
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models Zhaoqiang Liu Jonathan Scarlett 19 38 0 28 Aug 2019
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image Prior Tatsuya Yokota H. Hontani Qibin Zhao A. Cichocki 19 11 0 08 Aug 2019
A Projectional Ansatz to Reconstruction Sören Dittmer Peter Maass 14 3 0 10 Jul 2019
Regularizing linear inverse problems with convolutional neural networks Reinhard Heckel 14 22 0 06 Jul 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors Gauri Jagatap C. Hegde 16 70 0 20 Jun 2019
One-dimensional Deep Image Prior for Time Series Inverse Problems Sriram Ravula A. Dimakis 40 7 0 18 Apr 2019
Generative Models for Low-Rank Video Representation and Reconstruction Rakib Hyder M. Salman Asif GAN 19 11 0 25 Feb 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover Stefano Ermon 11 53 0 26 Dec 2018
Towards a Theoretical Understanding of Hashing-Based Neural Nets Yibo Lin Zhao-quan Song Lin F. Yang 6 5 0 26 Dec 2018
Regularization by architecture: A deep prior approach for inverse problems Sören Dittmer T. Kluth Peter Maass Daniel Otero Baguer 24 97 0 10 Dec 2018
Robustness of Conditional GANs to Noisy Labels Kerry J. Halupka A. Khetan Zinan Lin Stephen Moore NoLa 21 79 0 08 Nov 2018
Image Restoration using Total Variation Regularized Deep Image Prior Jiaming Liu Yu Sun Xiaojian Xu Ulugbek S. Kamilov 14 175 0 30 Oct 2018
Algorithmic Aspects of Inverse Problems Using Generative Models C. Hegde GAN 25 21 0 08 Oct 2018
Blind Image Deconvolution using Deep Generative Priors Muhammad Asim Fahad Shamshad Ali Ahmed 37 94 0 12 Feb 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 44 3,106 0 29 Nov 2017