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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- LinkedLinked via arxiv author · 85%Zhen Xiao →
“RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation”
- LinkedLinked via arxiv author · 85%Zhen Shen →
“RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation”
- LinkedLinked via arxiv author · 85%Zhaofan Qiu →
“RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation”
- LinkedLinked via arxiv author · 85%Ting Yao →
“RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation”
- LinkedLinked via arxiv author · 85%Xueliang Liu →
“RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation”
- LinkedLinked via arxiv author · 85%Lantao Mei →
“RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation”
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”
- FuzzyOverlapping authors or contributors · 62%TauricResearch/TradingAgents →
“Shared author/contributor keys: xiao”