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Learning to Synthesize: Robust Phase Retrieval at Low Photon counts

Learning to Synthesize: Robust Phase Retrieval at Low Photon counts

26 July 2019
Mo Deng
Shuai Li
A. Goy
Iksung Kang
George Barbastathis
ArXivPDFHTML

Papers citing "Learning to Synthesize: Robust Phase Retrieval at Low Photon counts"

9 / 9 papers shown
Title
Nonlinear functional regression by functional deep neural network with kernel embedding
Nonlinear functional regression by functional deep neural network with kernel embedding
Zhongjie Shi
Jun Fan
Linhao Song
Ding-Xuan Zhou
Johan A. K. Suykens
65
5
0
05 Jan 2024
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs
Ke Chen
Chunmei Wang
Haizhao Yang
AI4CE
24
13
0
28 Jan 2023
Self-supervised learning of hologram reconstruction using physics
  consistency
Self-supervised learning of hologram reconstruction using physics consistency
Luzhe Huang
Hanlong Chen
Tairan Liu
Aydogan Ozcan
DiffM
SSL
36
41
0
17 Sep 2022
SiSPRNet: End-to-End Learning for Single-Shot Phase Retrieval
SiSPRNet: End-to-End Learning for Single-Shot Phase Retrieval
Qiuliang Ye
Li-Wen Wang
D. Lun
19
14
0
23 May 2022
Fourier Imager Network (FIN): A deep neural network for hologram
  reconstruction with superior external generalization
Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization
Hanlong Chen
Luzhe Huang
Tairan Liu
Aydogan Ozcan
18
66
0
22 Apr 2022
Deep Nonparametric Estimation of Operators between Infinite Dimensional
  Spaces
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces
Hao Liu
Haizhao Yang
Minshuo Chen
T. Zhao
Wenjing Liao
32
36
0
01 Jan 2022
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Mahyar Khayatkhoei
Ahmed Elgammal
GAN
21
46
0
04 Oct 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
15
521
0
12 May 2020
On the interplay between physical and content priors in deep learning
  for computational imaging
On the interplay between physical and content priors in deep learning for computational imaging
Mo Deng
Shuai Li
Iksung Kang
N. Fang
George Barbastathis
39
26
0
14 Apr 2020
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