his goal,
we first construct DanceRemix, a large-scale multi-turn editable dance dataset
comprising the prompt featuring over 25.3M dance frames and 84.5K pairs. In
addition, we propose a novel framework for iterative and editable dance
generation coherently aligned with given music signals, namely DanceEditor.
Considering the dance motion should be both musical rhythmic and enable
iterative editing by user descriptions, our framework is built upon a
prediction-then-editing paradigm unifying multi-modal con