Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Facial Expression Editing with Continuous Emotion Labels   Recently deep generative models have achieved impressive results in the field
of automated facial expression editing. However, the approaches presented so
far presume a discrete representation of human emotions and are therefore
limited in the modelling of non-discrete emotional expressions. To overcome
this limitation, we explore how continuous emotion representations can be used
to control automated expression editing. We propose a deep generative model
that can be used to manipulate facial expressions in facial images according to
continuous two-dimensional emotion labels. One dimension represents an
emotion's valence, the other represents its degree of arousal. We demonstrate
the functionality of our model with a quantitative analysis using classifier
networks as well as with a qualitative analysis.

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The categories of this paper are: math
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The categories of this paper are: q-fin
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The categories of this paper are: supr-con
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The categories of this paper are: quant-ph
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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: econ
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: solv-int
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The categories of this paper are: alg-geom
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-lat
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The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th