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A deep learning framework for morphologic detail beyond the diffraction
  limit in infrared spectroscopic imaging

A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging

6 November 2019
Kianoush Falahkheirkhah
Kevin Yeh
Shachi Mittal
L. Pfister
Rohit Bhargava
    MedIm
ArXivPDFHTML

Papers citing "A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging"

4 / 4 papers shown
Title
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang
Ke Yu
Shixiang Wu
Jinjin Gu
Yihao Liu
Chao Dong
Chen Change Loy
Yu Qiao
Xiaoou Tang
85
3,706
0
01 Sep 2018
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
229
10,646
0
15 Sep 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
173
10,202
0
27 Mar 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
91
6,164
0
14 Nov 2015
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