Poster
in
Workshop: Workshop on Machine Learning for Creativity and Design

Intentional Dance Choreography with Semi-Supervised Recurrent VAEs

Mathilde Papillon · Mariel Pettee · Nina Miolane


Abstract:

We summarize the model and results of PirouNet, a semi-supervised recurrent variational autoencoder. Given a set of dance sequences of which 1% include qualitative choreographic annotations, PirouNet conditionally generates dance sequences in the style and intention of the choreographer.

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