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        Neural Network Based Motion Synthesis for Close Combat in Games

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        Publication date
        2018
        Author
        Freda, C.
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        Summary
        In this thesis we present a comparison of different neural network based motion synthesis techniques applied to the animation of a sword-fighting character. We record a set of motions in our motion capture lab, documenting the gathering and processing of data. We compare two data-driven models, Encoder-Recurrent-Decoder and Phase-Functioned Neural Networks, by training them to our data set.
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        https://studenttheses.uu.nl/handle/20.500.12932/31420
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