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Tiny models can conquer severe clinical domain shifts: grounding 3D kinematic sequences in LLM-generated semantic descriptions and merging source-domain weights delivers top-tier Parkinsonian gait severity prediction with just 637K active parameters.
By focusing optimization solely on visible body regions, FlexiAvatar eliminates artifacts from unobserved limbs, achieving superior reconstruction quality and efficiency.
