Researchers have developed a new method for animating full-body avatars, enhancing realism by incorporating latent dynamics. This approach uses a transformer-based decoder and a dynamics residual latent to capture temporal variations in appearance and geometry beyond simple pose information. A learned dynamics model evolves this latent state, decomposing updates into driving, restoring, and dissipative forces to produce coherent, history-dependent animations with minimal computational overhead. AI
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IMPACT Introduces a novel approach to avatar animation, potentially improving realism and temporal coherence in virtual environments.
RANK_REASON The cluster contains a research paper detailing a new method for avatar animation. [lever_c_demoted from research: ic=1 ai=1.0]