Fetching the paper…
Reading the bibliography…
The classical problem of phase retrieval arises in various signal acquisition systems.
“An improved ptychographical phase retrieval algorithm for diffractive imaging,”
A. Maiden and J. Rodenburg, · 2009
Earlier work this paper cites.
“Cprl–an extension of compressive sensing to the phase retrieval problem,”
H. Ohlsson, A. Yang, R. Dong, and S. Sastry, · 2012
Earlier work this paper cites.
“Recovery of sparse 1-d signals from the magnitudes of their fourier transform,”
K. Jaganathan, S. Oymak, and B. Hassibi, · 2012
Earlier work this paper cites.
“Phase retrieval using alternating minimization,”
P. Netrapalli, P. Jain, and S. Sanghavi, · 2013
Earlier work this paper cites.
“Phaselift: Exact and stable signal recovery from magnitude measurements via convex programming,”
E. Candes, T. Strohmer, and V. Voroninski, · 2013
Earlier work this paper cites.
“Sparse signal recovery from quadratic measurements via convex programming,”
X. Li and V. Voroninski, · 2013
Earlier work this paper cites.
“Plug-and-play priors for model based reconstruction,”
S. Venkatakrishnan, C. Bouman, and B. Wohlberg, · 2013
Earlier work this paper cites.
“Generative adversarial nets,”
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, · 2014
Earlier work this paper cites.
“Phase retrieval with application to optical imaging: a contemporary overview,”
Y. Shechtman, Y. Eldar, O. Cohen, H. Chapman, J. Miao, and M. Segev, · 2015
Earlier work this paper cites.
“Phase retrieval from coded diffraction patterns,”
E. Candes, X. Li, and M. Soltanolkotabi, · 2015
Earlier work this paper cites.
“Phase retrieval via wirtinger flow: theory and algorithms,”
E. Candes, X. Li, and M. Soltanolkotabi, · 2015
Cited alongside, same era.
“Solving random quadratic systems of equations is nearly as easy as solving linear systems,”
Y. Chen and E. Candes, · 2015
Cited alongside, same era.
“Efficient compressive phase retrieval with constrained sensing vectors,”
S. Bahmani and J. Romberg, · 2015
Cited alongside, same era.
“Solving random systems of quadratic equations via truncated generalized gradient flow,”
G. Wang and G. Giannakis, · 2016
Cited alongside, same era.
“Reshaped wirtinger flow for solving quadratic system of equations,”
H. Zhang and Y. Liang, · 2016
Cited alongside, same era.
“Optimal rates of convergence for noisy sparse phase retrieval via thresholded wirtinger flow,”
T. Cai, X. Li, Z. Ma, et al., · 2016
“Fast, sample-efficient algorithms for structured phase retrieval,”
G. Jagatap and C. Hegde, · 2017
Later among the works it cites.
“Improved recovery guarantees for phase retrieval from coded diffraction patterns,”
D. Gross, F. Krahmer, and R. Kueng, · 2017
Later among the works it cites.
“Learning deep cnn denoiser prior for image restoration,”
K. Zhang, W. Zuo, S. Gu, and L. Zhang, · 2017
Later among the works it cites.
“Phase retrieval under a generative prior,”
P. Hand, O. Leong, and V. Voroninski, · 2018
Later among the works it cites.
“Robust compressive phase retrieval via deep generative priors,”
F. Shamshad and A. Ahmed, · 2018
Later among the works it cites.
“Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees,”
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
“Unsupervised representation learning with deep convolutional generative adversarial networks,”
A. Radford, L. Metz, and S. Chintala, · 2016
Cited alongside, same era.
“Began: Boundary equilibrium generative adversarial networks,”
D. Berthelot, T. Schumm, and L. Metz, · 2017
Cited alongside, same era.
“Compressed sensing using generative models,”
A. Bora, A. Jalal, E. Price, and A. Dimakis, · 2017
Cited alongside, same era.
V. Shah and C. Hegde, · 2018
Later among the works it cites.
“Sparse phase retrieval via truncated amplitude flow,”
Gang Wang, Liang Zhang, Georgios B. Giannakis, Mehmet Akcakaya, and Jie Chen, · 2018
Later among the works it cites.
“Optimizing the latent space of generative networks,”
P. Bojanowski, A. Joulin, D. Lopez-Paz, and A. Szlam, · 2018
Later among the works it cites.
“Image restoration by iterative denoising and backward projections,”
T. Tirer and R. Giryes, · 2019
Closest in time.