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          <dc:title>&lt;p&gt;Hierarchical joint error (MPJPE &amp; P-MPJPE) comparison on Human3.6M.&lt;/p&gt;</dc:title>
          <dc:creator>Jinze Jiang (25132820)</dc:creator>
          <dc:creator>Zhongheng Jian (25132823)</dc:creator>
          <dc:creator>Hualing Zheng (25132826)</dc:creator>
          <dc:creator>Minsi Liang (23393861)</dc:creator>
          <dc:creator>Yuxing Shi (10150023)</dc:creator>
          <dc:creator>Liming Zhang (213971)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Physiology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>two features separately</dc:subject>
          <dc:subject>skeletal kinematic tree</dc:subject>
          <dc:subject>realize dual supervision</dc:subject>
          <dc:subject>injects gaussian noise</dc:subject>
          <dc:subject>increased estimation error</dc:subject>
          <dc:subject>grained motion analysis</dc:subject>
          <dc:subject>athletic technique diagnosis</dc:subject>
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          <dc:subject>sports motion capture</dc:subject>
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          <dc:subject>3d pose loss</dc:subject>
          <dc:subject>mainstream methods fail</dc:subject>
          <dc:subject>physical fitness assessment</dc:subject>
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          <dc:subject>full diffusion pipeline</dc:subject>
          <dc:subject>based probabilistic methods</dc:subject>
          <dc:subject>based methods suffer</dc:subject>
          <dc:subject>digital human animation</dc:subject>
          <dc:subject>sports rehabilitation training</dc:subject>
          <dc:subject>monocular 3d hpe</dc:subject>
          <dc:subject>hypothesis inference setting</dc:subject>
          <dc:subject>reduces average mpjpe</dc:subject>
          <dc:subject>reaching new state</dc:subject>
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          <dc:subject>bone direction features</dc:subject>
          <dc:subject>3dhp datasets show</dc:subject>
          <dc:subject>reverse denoising process</dc:subject>
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          <dc:subject>sports training</dc:subject>
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          <dc:subject>diffusion process</dc:subject>
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          <dc:subject>hierarchical spatial</dc:subject>
          <dc:subject>diffusion model</dc:subject>
          <dc:subject>temporal denoising</dc:subject>
          <dc:subject>immersive human</dc:subject>
          <dc:subject>human skeleton</dc:subject>
          <dc:subject>hierarchical spatio</dc:subject>
          <dc:subject>work provides</dc:subject>
          <dc:subject>temporal relationships</dc:subject>
          <dc:subject>temporal correlations</dc:subject>
          <dc:subject>joint levels</dc:subject>
          <dc:subject>fully mine</dc:subject>
          <dc:description>&lt;p&gt;Hierarchical joint error (MPJPE &amp; P-MPJPE) comparison on Human3.6M.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-28T17:52:13Z</dc:date>
          <dc:type>Dataset</dc:type>
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          <dc:identifier>10.1371/journal.pone.0359321.t008</dc:identifier>
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