神刀安全网

Chor-RNN: Generative Choreography Using Deep Learning

Generative Choreograpy

Generative Choreography using Deep Learning, prepreprint article for ICCC16.

Recent advances in deep learning have enabled the extraction of high-level features from raw sensor data which has opened up new possibilities in many different fields, including computer generated choreography. We have in collaboration with The Lulu Art grou p developed  a system,   chor-rnn ,  for generating novel choreographic material in the nuanced choreographic language and style of an individual choreographer. It also shows promising results in producing a higher level compositional cohesion, rather than just generating sequences of movement. At the core of chor-rnn is deep recurrent neural network trained on raw motion capture data and that can generate new dance sequences for a solo dancer. Chor-rnn can be used for collaborative human-machine choreography or as a creative catalyst, serving as inspiration for a choreographer. 

Process

转载本站任何文章请注明:转载至神刀安全网,谢谢神刀安全网 » Chor-RNN: Generative Choreography Using Deep Learning

分享到:更多 ()

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址