Researchers are exploring the use of generative networks for 2D-to-3D image translation of complex nanoporous volumes. Studies are utilizing various techniques, including deep learning, pseudo 3D models, and high-resolution computed tomography imaging, to improve material imaging and estimation of material porosity. The applications of this research appear to be diverse, ranging from the analysis of volcanic rocks to the study of oil reservoirs.