{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/generative-choreography-using-deep-learning","title":"Generative Choreography using Deep Learning","arxiv_id":"1605.06921","date":"2016-05-23","proceeding":null,"authors":["Luka Crnkovic-Friis","Louise Crnkovic-Friis"],"abstract":"Recent advances in deep learning have enabled the extraction of high-level\nfeatures from raw sensor data which has opened up new possibilities in many\ndifferent fields, including computer generated choreography. In this paper we\npresent a system chor-rnn for generating novel choreographic material in the\nnuanced choreographic language and style of an individual choreographer. It\nalso shows promising results in producing a higher level compositional\ncohesion, rather than just generating sequences of movement. At the core of\nchor-rnn is a deep recurrent neural network trained on raw motion capture data\nand that can generate new dance sequences for a solo dancer. Chor-rnn can be\nused for collaborative human-machine choreography or as a creative catalyst,\nserving as inspiration for a choreographer.","url_abs":"http://arxiv.org/abs/1605.06921v1","url_pdf":"http://arxiv.org/pdf/1605.06921v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"generative-choreography-using-deep-learning","repo_url":"https://github.com/mariel-pettee/choreography","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1605.06921","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}