SOURCE-LINKED INTELLIGENCE
RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation
Cross-identity character animation aims to drive a target identity from a reference image to follow the motion of a source character from a driving video. The core challenge lies in the inherent entanglement of two capabilities: cross-identity spatial mapping (aligning position, scale, and skeletal proportions) and motion control (refining joint articulation, volumetric consistency, and view coherence). We introduce Reference-Aware Structural Alignment (RASA), a framework that disentangles spatial mapping from motion control by injecting structured priors into a Diffusion Transformer (DiT). Ou
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T11:36:44.000Z
First collected: 2026-09-21T08:21:55.975Z. This is not the publication date.