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PR-DAD: Phase Retrieval Using Deep Auto-Decoders

PR-DAD: Phase Retrieval Using Deep Auto-Decoders

18 April 2022
Leonid Gugel
S. Dekel
ArXivPDFHTML

Papers citing "PR-DAD: Phase Retrieval Using Deep Auto-Decoders"

8 / 8 papers shown
Title
Non-Iterative Phase Retrieval With Cascaded Neural Networks
Non-Iterative Phase Retrieval With Cascaded Neural Networks
Tobias Uelwer
Tobias Hoffmann
Stefan Harmeling
40
11
0
18 Jun 2021
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase
  Retrieval
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval
Eunju Cha
Chanseok Lee
Mooseok Jang
J. C. Ye
64
15
0
20 Nov 2020
Phase Retrieval Using Conditional Generative Adversarial Networks
Phase Retrieval Using Conditional Generative Adversarial Networks
Tobias Uelwer
Alexander Oberstrass
Stefan Harmeling
GAN
48
25
0
10 Dec 2019
Online Regularization by Denoising with Applications to Phase Retrieval
Online Regularization by Denoising with Applications to Phase Retrieval
Zihui Wu
Yu Sun
Jiaming Liu
Ulugbek S. Kamilov
31
32
0
04 Sep 2019
Deep Learning for Classical Japanese Literature
Deep Learning for Classical Japanese Literature
Tarin Clanuwat
Mikel Bober-Irizar
A. Kitamoto
Alex Lamb
Kazuaki Yamamoto
David R Ha
83
707
0
03 Dec 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network
prDeep: Robust Phase Retrieval with a Flexible Deep Network
Christopher A. Metzler
Philip Schniter
Ashok Veeraraghavan
Richard G. Baraniuk
OOD
69
169
0
01 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
226
8,856
0
25 Aug 2017
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
224
8,389
0
28 Nov 2014
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