LGSep 20, 2022
Intentional Choreography with Semi-Supervised Recurrent VAEs
arXiv:2209.10010v1h-index: 13
Originality Synthesis-oriented
AI Analysis
This addresses the challenge of automated dance generation for choreographers and artists, but appears incremental as it builds on existing VAE and semi-supervised techniques.
The paper tackled the problem of generating dance sequences in a choreographer's style by using a semi-supervised recurrent variational autoencoder, achieving conditional generation from a small set of labeled dance sequences.
We summarize the model and results of PirouNet, a semi-supervised recurrent variational autoencoder. Given a small amount of dance sequences labeled with qualitative choreographic annotations, PirouNet conditionally generates dance sequences in the style of the choreographer.