Learning to Move with Style: Few-Shot Cross-Modal Style Transfer for Creative Robot Motion Generation

DanceStyleCam: Style-Based 3D Multi-Style Dance Camera Movement Synthesis

Fully automatic camera movement directly affects the art quality of dance expressiveness, especially in terms of visual expression, as well as choreography and music. Current studies mainly focus on synthesizing camera movements conditioned on dance and music, but they overlook the camera movement style, which is essen...

Controllable Music-to-Dance Generation with Hierarchical Motion Representation Learning.

Current music-to-dance generation methods mainly rely on musical features, limiting precise control over generated movements. In particular, most existing methods with control mechanisms do not support example-based control, in which a user provides a reference motion sequence and the generated dances follow its fine-g...

ChoreDiffusion: Beat-Aware Diffusion for Music-to-Dance Generation

Music-to-dance generation requires precisely aligning movement dynamics with musical rhythm, yet existing methods rely on shallow conditioning or auxiliary beat-alignment objectives that fail to establish stable beat–motion correspondences. We present ChoreDiffusion, a diffusion-based framework that integrates explicit...

Human-in-the-Loop: Crossmodal AI Alignment between Movement and Audio Latent Spaces for Expressive Sonification in Dance Performance

FlowDance: Music-Driven Dance Video Generation with Parallel Pose and RGB Streams

Music-driven dance video synthesis aims to animate a reference person according to a given music clip. The task is challenging because it requires a model to jointly learn music-to-motion correspondence, identity-preserving human animation, temporal coherence, and visually realistic video generation. We present FlowDan...

MulSMo: Multimodal Stylized Motion Generation by Bidirectional Control Flow

Generating motion sequences conforming to a target style while adhering to the given content prompts requires accommodating both the content and style. In existing methods, the information usually only flows from style to content, which may cause conflict between the style and content, harming the integration. Differen...