Phase Retrieval Under a Generative Prior

11 July 2018

Papers citing "Phase Retrieval Under a Generative Prior"

49 / 49 papers shown

Title
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu FedML 37 6 0 25 Sep 2023
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition Viraj Shah Svetlana Lazebnik Julien Philip GAN 46 2 0 18 May 2023
Discovering Structure From Corruption for Unsupervised Image Reconstruction Oscar Leong Angela F. Gao He Sun Katherine Bouman 49 5 0 12 Apr 2023
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 45 5 0 25 Oct 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 51 4 0 11 Oct 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 36 15 0 18 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 50 11 0 31 May 2022
Optimizing Intermediate Representations of Generative Models for Phase Retrieval Tobias Uelwer S. Konietzny Stefan Harmeling 31 1 0 31 May 2022
Signal Recovery with Non-Expansive Generative Network Priors Jorio Cocola 21 1 0 24 Apr 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 34 11 0 18 Mar 2022
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence Brandon Yushan Feng Mingyang Xie Christopher A. Metzler ViT 28 14 0 13 Mar 2022
Early Stopping for Deep Image Prior Hengkang Wang Taihui Li Zhong Zhuang Tiancong Chen Hengyue Liang Ju Sun 33 63 0 11 Dec 2021
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models Dongzhuo Li MedIm 40 2 0 07 Dec 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 43 326 0 03 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 29 34 0 22 Jul 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 28 51 0 21 Jun 2021
Non-Iterative Phase Retrieval With Cascaded Neural Networks Tobias Uelwer Tobias Hoffmann Stefan Harmeling 32 11 0 18 Jun 2021
GAN Prior Embedded Network for Blind Face Restoration in the Wild Tao Yang Peiran Ren Xuansong Xie Lei Zhang GAN CVBM 24 273 0 13 May 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 34 5 0 12 Jan 2021
Bayesian Image Reconstruction using Deep Generative Models Razvan Marinescu Daniel Moyer Polina Golland OOD DiffM 25 39 0 08 Dec 2020
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval Eunju Cha Chanseok Lee Mooseok Jang J. C. Ye 38 15 0 20 Nov 2020
Solving Phase Retrieval with a Learned Reference Rakib Hyder Zikui Cai Ulugbek S. Kamilov 18 24 0 29 Jul 2020
DeepInit Phase Retrieval M. Reiche P. Jung 34 3 0 16 Jul 2020
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 26 13 0 28 Jun 2020
The Gaussian equivalence of generative models for learning with shallow neural networks Sebastian Goldt Bruno Loureiro Galen Reeves Florent Krzakala M. Mézard Lenka Zdeborová BDL 41 100 0 25 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis Constantine Caramanis 23 39 0 16 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 29 26 0 15 Jun 2020
Phase retrieval in high dimensions: Statistical and computational phase transitions Antoine Maillard Bruno Loureiro Florent Krzakala Lenka Zdeborová 26 58 0 09 Jun 2020
Constant-Expansion Suffices for Compressed Sensing with Generative Priors C. Daskalakis Dhruv Rohatgi Manolis Zampetakis 26 12 0 07 Jun 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 38 86 0 16 May 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 25 521 0 12 May 2020
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation Reinhard Heckel Mahdi Soltanolkotabi 14 81 0 07 May 2020
When deep denoising meets iterative phase retrieval Yaotian Wang Xiaohang Sun Jason W. Fleischer 25 18 0 03 Mar 2020
Deep S $^3$ PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models Christopher A. Metzler Gordon Wetzstein 20 11 0 14 Feb 2020
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications Halyun Jeong Xiaowei Li Y. Plan Özgür Yilmaz 24 18 0 28 Jan 2020
Phase Retrieval Using Conditional Generative Adversarial Networks Tobias Uelwer Alexander Oberstrass Stefan Harmeling GAN 30 25 0 10 Dec 2019
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators Reinhard Heckel Mahdi Soltanolkotabi DiffM 37 82 0 31 Oct 2019
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems Oscar Leong W. Sakla GAN 14 7 0 23 Oct 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Shuang Qiu Xiaohan Wei Zhuoran Yang 37 24 0 14 Aug 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari V. Cevher GAN 30 43 0 07 Jul 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors Gauri Jagatap Chinmay Hegde 26 71 0 20 Jun 2019
Image-Adaptive GAN based Reconstruction Shady Abu Hussein Tom Tirer Raja Giryes GAN 19 89 0 12 Jun 2019
The spiked matrix model with generative priors Benjamin Aubin Bruno Loureiro Antoine Maillard Florent Krzakala Lenka Zdeborová 19 52 0 29 May 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 26 146 0 28 May 2019
One-dimensional Deep Image Prior for Time Series Inverse Problems Sriram Ravula A. Dimakis 42 7 0 18 Apr 2019
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval Rakib Hyder Viraj Shah Chinmay Hegde Ulugbek S. Kamilov 21 45 0 07 Mar 2019
Low-Rank Phase Retrieval via Variational Bayesian Learning Kaihui Liu Jiayi Wang Zhengli Xing Linxiao Yang Jun Fang BDL 19 13 0 05 Nov 2018
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 32 281 0 02 Oct 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 33 178 0 17 Jun 2018