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Towards Sample-Optimal Compressive Phase Retrieval with Sparse and
  Generative Priors
v1v2 (latest)

Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors

29 June 2021
Zhaoqiang Liu
Subhro Ghosh
Jonathan Scarlett
ArXiv (abs)PDFHTML

Papers citing "Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors"

7 / 7 papers shown
Title
Misspecified Phase Retrieval with Generative Priors
Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu
Xinshao Wang
Jiulong Liu
79
6
0
11 Oct 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Jonathan Scarlett
Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
AI4CE
110
32
0
29 Jun 2022
Subspace Phase Retrieval
Subspace Phase Retrieval
Meng Xu
Dekuan Dong
J. Wang
65
2
0
06 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative
  Models
Non-Iterative Recovery from Nonlinear Observations using Generative Models
Jiulong Liu
Zhaoqiang Liu
101
12
0
31 May 2022
Optimizing Intermediate Representations of Generative Models for Phase
  Retrieval
Optimizing Intermediate Representations of Generative Models for Phase Retrieval
Tobias Uelwer
S. Konietzny
Stefan Harmeling
105
1
0
31 May 2022
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying
  Multiframe Blind Deconvolution with Applications to Imaging Through
  Turbulence
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
66
14
0
13 Mar 2022
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant
  Matrices and Generative Priors
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors
Zhaoqiang Liu
Subhro Ghosh
J. Han
Jonathan Scarlett
63
8
0
08 Aug 2021
1