Accurate and Fast reconstruction of Porous Media from Extremely Limited Information Using Conditional Generative Adversarial Network

4 April 2019

Papers citing "Accurate and Fast reconstruction of Porous Media from Extremely Limited Information Using Conditional Generative Adversarial Network"

8 / 8 papers shown

Title
Parametric generation of conditional geological realizations using generative neural networks Shing Chan A. Elsheikh OOD GAN AI4CE 109 101 0 13 Jul 2018
Stochastic reconstruction of an oolitic limestone by generative adversarial networks L. Mosser O. Dubrule M. Blunt GAN 46 141 0 07 Dec 2017
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network E. Laloy Romain Hérault J. Lee D. Jacques N. Linde 65 194 0 25 Oct 2017
CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks Honggang Chen Xiaohai He Chao Ren L. Qing Qizhi Teng SupR 46 37 0 19 Sep 2017
Training-image based geostatistical inversion using a spatial generative adversarial neural network E. Laloy Romain Hérault D. Jacques N. Linde DiffM GAN 40 284 0 16 Aug 2017
Recent Trends in Deep Learning Based Natural Language Processing Tom Young Devamanyu Hazarika Soujanya Poria Min Zhang 75 2,835 0 09 Aug 2017
Reconstruction of three-dimensional porous media using generative adversarial neural networks L. Mosser O. Dubrule M. Blunt AI4CE GAN 48 390 0 11 Apr 2017
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design Ruijin Cang Yaopengxiao Xu Shaohua Chen Yongming Liu Yang Jiao Max Yi Ren AI4CE 3DV 71 156 0 22 Dec 2016