High-Resolution granular modeling for style transfer and 3D brushstrokes
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2021-06-24
Language
en
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Abstract
We investigate the e ects of granular factorization over style transfer
and depth estimation. Previous work on style transfer focuses mainly on
creating high-quality images; this is only part of the picture. We consider
that a proper style transfer model would require 3D brush strokes and textures.
However, the most similar work for 3D brushstrokes focuses on assisting
the artist and not on a fully autonomous end-to-end model. Our
approach requires a granular factorization to control the scale of the style
and brushstrokes. This factorization also allows our models to create ultrahigh-
de nition images.
We present a framework of two sequential models that extends the idea
of style transfer by including a painter's 3D brushstrokes and textures. We
show that our models can create a 3D depth map out of 2D brushstrokes.
With the use of granular factorization our model is capable of controlling
the scale of the style transfer and the preservation of original features in the
content image.
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Faculteit der Sociale Wetenschappen