Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Motion Puzzle: Arbitrary Motion Style Transfer by Body Part   This paper presents Motion Puzzle, a novel motion style transfer network that
advances the state-of-the-art in several important respects. The Motion Puzzle
is the first that can control the motion style of individual body parts,
allowing for local style editing and significantly increasing the range of
stylized motions. Designed to keep the human's kinematic structure, our
framework extracts style features from multiple style motions for different
body parts and transfers them locally to the target body parts. Another major
advantage is that it can transfer both global and local traits of motion style
by integrating the adaptive instance normalization and attention modules while
keeping the skeleton topology. Thus, it can capture styles exhibited by dynamic
movements, such as flapping and staggering, significantly better than previous
work. In addition, our framework allows for arbitrary motion style transfer
without datasets with style labeling or motion pairing, making many publicly
available motion datasets available for training. Our framework can be easily
integrated with motion generation frameworks to create many applications, such
as real-time motion transfer. We demonstrate the advantages of our framework
with a number of examples and comparisons with previous work.

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The categories of this paper are: nucl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: quant-ph
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The categories of this paper are: nlin
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The categories of this paper are: ao-sci
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The categories of this paper are: bayes-an
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The categories of this paper are: adap-org
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The categories of this paper are: hep-lat
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The categories of this paper are: math-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ex
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The categories of this paper are: q-fin
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The categories of this paper are: gr-qc
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The categories of this paper are: alg-geom
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The categories of this paper are: econ
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The categories of this paper are: funct-an