Author

Zhen Shen

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Preprint Aug 2026

RASA: Disentangled Spatial-Motional Priors for Cross-Identity Character Animation

Reference-Aware Structural Alignment (RASA), a framework that disentangles spatial mapping from motion control by injecting structured priors into a Diffusion Transformer (DiT), is introduced, establishing a new paradigm showing disentangled spatial and motional priors are key to robust character animation.

Zhen Xiao, Zhen Shen, Zhaofan Qiu et al. · 0 citations

Preprint Aug 2026

LD4WAM: Learning Latent Dynamics from Human Videos for World Action Models

LD4WAM is presented, which pairs a Latent Dynamics Model trained with semantic reconstruction and real motion alignment with a World Dynamics Action Model built as a mixture-of-transformers (MoT), which preserves full future-video generation and uses learnable queries to distill these latent dynamics from generated fut...

Zhen Shen, Jia-Qi Liang, Jasper Lu et al. · 3 citations