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Stochastic reconstruction of an oolitic limestone by generative
  adversarial networks

Stochastic reconstruction of an oolitic limestone by generative adversarial networks

7 December 2017
L. Mosser
O. Dubrule
M. Blunt
    GAN
ArXivPDFHTML

Papers citing "Stochastic reconstruction of an oolitic limestone by generative adversarial networks"

6 / 6 papers shown
Title
Digital rock reconstruction with user-defined properties using
  conditional generative adversarial networks
Digital rock reconstruction with user-defined properties using conditional generative adversarial networks
Qi Zheng
Dongxiao Zhang
GAN
DiffM
AI4CE
20
26
0
29 Nov 2020
Deep learning for synthetic microstructure generation in a
  materials-by-design framework for heterogeneous energetic materials
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials
Sehyun Chun
S. Roy
Y. Nguyen
Joseph B. Choi
H. Udaykumar
Stephen Seung-Yeob Baek
AI4CE
11
92
0
05 Apr 2020
Pores for thought: The use of generative adversarial networks for the
  stochastic reconstruction of 3D multi-phase electrode microstructures with
  periodic boundaries
Pores for thought: The use of generative adversarial networks for the stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries
Andrea Gayon-Lombardo
L. Mosser
N. Brandon
S. J. Cooper
AI4CE
17
120
0
17 Feb 2020
Stochastic seismic waveform inversion using generative adversarial
  networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GAN
AI4CE
89
206
0
10 Jun 2018
Generating Realistic Geology Conditioned on Physical Measurements with
  Generative Adversarial Networks
Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks
Emilien Dupont
Tuanfeng Zhang
P. Tilke
Lin Liang
William J. Bailey
OOD
GAN
AI4CE
15
68
0
08 Feb 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
195
5,176
0
16 Sep 2016
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