Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-attribute Pizza Generator: Cross-domain Attribute Control with
  Conditional StyleGAN   Multi-attribute conditional image generation is a challenging problem in
computervision. We propose Multi-attribute Pizza Generator (MPG), a conditional
Generative Neural Network (GAN) framework for synthesizing images from a
trichotomy of attributes: content, view-geometry, and implicit visual style. We
design MPG by extending the state-of-the-art StyleGAN2, using a new
conditioning technique that guides the intermediate feature maps to learn
multi-scale multi-attribute entangled representationsof controlling attributes.
Because of the complex nature of the multi-attribute image generation problem,
we regularize the image generation by predicting the explicit conditioning
attributes (ingredients and view). To synthesize a pizza image with view
attributesoutside the range of natural training images, we design a CGI pizza
dataset PizzaView using 3D pizza models and employ it to train a view attribute
regressor to regularize the generation process, bridging the real and CGI
training datasets. To verify the efficacy of MPG, we test it on Pizza10, a
carefully annotated multi-ingredient pizza image dataset. MPG can successfully
generate photo-realistic pizza images with desired ingredients and view
attributes, beyond the range of those observed in real-world training data.

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The categories of this paper are: bayes-an
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The categories of this paper are: funct-an
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The categories of this paper are: quant-ph
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The categories of this paper are: eess
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The categories of this paper are: solv-int
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The categories of this paper are: atom-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: econ
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The categories of this paper are: hep-ph
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The categories of this paper are: q-alg
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The categories of this paper are: math
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: physics
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The categories of this paper are: dg-ga
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The categories of this paper are: q-fin