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DiAGAN

3D simulations of earth textures using generative adversarial networks and 2D examples. Collection of pretrained models, training images and output samples accompagning the DiAGAN repository : https://github.com/randlab/DiAGAN

Repository accompagning this article :

3D Geological Image Synthesis From 2D Examples Using Generative Adversarial Networks

Guillaume Coiffier, Philippe Renard, Sylvain Lefebvre

Frontiers in Water, 28 October 2020

https://www.frontiersin.org/journals/water/articles/10.3389/frwa.2020.560598/full

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