Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 3DMaterialGAN: Learning 3D Shape Representation from Latent Space for
  Materials Science Applications   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 attention or success as its predecessor.
To facilitate novel progress at the intersection of computer vision and
materials science, we propose a 3DMaterialGAN network that is capable of
recognizing and synthesizing individual grains whose morphology conforms to a
given 3D polycrystalline material microstructure. This Generative Adversarial
Network (GAN) architecture yields complex 3D objects from probabilistic latent
space vectors with no additional information from 2D rendered images. We show
that this method performs comparably or better than state-of-the-art on
benchmark annotated 3D datasets, while also being able to distinguish and
generate objects that are not easily annotated, such as grain morphologies. The
value of our algorithm is demonstrated with analysis on experimental real-world
data, namely generating 3D grain structures found in a commercially relevant
wrought titanium alloy, which were validated through statistical shape
comparison. This framework lays the foundation for the recognition and
synthesis of polycrystalline material microstructures, which are used in
additive manufacturing, aerospace, and structural design applications.

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The categories of this paper are: q-bio
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The categories of this paper are: alg-geom
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The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
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The categories of this paper are: q-fin
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The categories of this paper are: bayes-an
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The categories of this paper are: atom-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: funct-an
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The categories of this paper are: cond-mat
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The categories of this paper are: chem-ph
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The categories of this paper are: adap-org