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Existing music-driven 3D dance generation methods mainly concentrate onhigh-quality dance generation, but lack sufficient control during thegeneration process. To address these issues, we propose a unified frameworkcapable of generating high-quality dance movements and supporting multi-modalcontrol, including genre control, semantic control, and spatial control. First,we decouple the dance generation network from the dance control network,thereby avoiding the degradation in dance quality when adding additionalcontrol information. Second, we design specific control strategies fordifferent control information and integrate them into a unified framework.Experimental results show that the proposed dance generation frameworkoutperforms state-of-the-art methods in terms of motion quality andcontrollability.

Exploring Multi-Modal Control in Music-Driven Dance Generation