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arXiv Machine Learning By Ali Sadeghkhani, Brandon Bennett, Arash Rabbani

Property-Constrained 3D Porous Media Reconstruction from 2D Images via Conditional Generative Adversarial Networks

Read the original on arXiv Machine Learning →

arXiv:2607. 02693v1 Announce Type: cross Abstract: This study presents a conditional Generative Adversarial Network (cGAN) framework for generating 3D porous media volumes with controlled porosity, trained exclusively on 2D thin section images.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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