Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment

arXiv:2403.18811v1 Announce Type: new
Abstract: We introduce a novel task within the field of 3D dance generation, termed dance accompaniment, which necessitates the generation of responsive movements from a dance partner, the "follower", synchronized with the lead dancer's movements and the underlying musical rhythm. Unlike existing solo or group dance generation tasks, a duet dance scenario entails a heightened degree of interaction between the two participants, requiring delicate coordination in both pose and position. To support this task, we first …

abstract arxiv cs.cv cs.gr cs.sd dance eess.as gpt movements novel partner policy reinforcement reinforcement learning responsive type