Contrastive learning-driven spatiotemporal dynamically adaptive framework for stylized 3D human motion generation.

PLoS One · 2026 · PMC12919818 · PMID 41712582

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highly significantno p-value reported

For style-related metrics, the proposed method exhibited highly significant improvements over all comparison methods (Bonferroni-corrected p ≪ 0.0125), with extremely large Cohen’s d values.

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