54 citations · 59 across the 4 of their papers we have counts for
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cs.CV2020★ 2 cited
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications
Devendra K. Jangid, Neal R. Brodnik, Amil Khan +4
In the field of computer vision, unsupervised learning for 2D object generation has advanced rapidly in the past few years. However, 3D object generation has not garnered the same…
cs.CV2019★ 1 cited
Correction of Electron Back-scattered Diffraction datasets using an evolutionary algorithm
Florian Strub, Marie-Agathe Charpagne, Tresa M. Pollock
In materials science and particularly electron microscopy, Electron Back-scatter Diffraction (EBSD) is a common and powerful mapping technique for collecting local crystallographic…