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Research map / 3D vision / Human pose estimation

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

CVPR 2022 · 3D vision › Human pose estimation · approach: Human motion prediction · 160 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the four-stage progressive prediction framework rather than one stage (ablation)PGBIG · Human3.6MMPJPE: 67.48 -> 65.02Helped
Add intermediate-stage supervision (ablation)PGBIG · Human3.6MMPJPE: 67.07 -> 65.02Helped
Use recursively smoothed targets rather than ground truth at every stage (ablation)PGBIG · Human3.6MMPJPE: 66.11 -> 65.02Helped
Use the Encoder-Copy-Decoder stage network instead of LTD (ablation)PGBIG · Human3.6MMPJPE: 67.15 -> 65.02Helped
Use S-DGCN and T-DGCN instead of ST-GCN (ablation)PGBIG · Human3.6MMPJPE: 67.97 -> 65.02Helped
Add the Copy operator to the decoder (ablation)PGBIG · Human3.6MMPJPE: 65.99 -> 65.02Helped
Use four stages rather than the tested alternatives (ablation)PGBIG · Human3.6MMPJPEHelped
Copy once rather than not copying (ablation)PGBIG Encoder-Copy-Decoder · Human3.6MMPJPE: 65.99 -> 65.02Helped
Copy three times rather than once (ablation)PGBIG Encoder-Copy-Decoder · Human3.6MMPJPE: 65.02 -> 65.35Hurt
Copy along the temporal rather than channel dimension (ablation)PGBIG Encoder-Copy-Decoder · Human3.6MMPJPE: 65.75 -> 65.02Helped
Copy along the temporal rather than spatial dimension (ablation)PGBIG Encoder-Copy-Decoder · Human3.6MMPJPE: 65.21 -> 65.02Helped
Use AAS rather than Gaussian smoothing with window 15 (ablation)PGBIG intermediate targets · Human3.6MMPJPE: 66.6 -> 65.0Helped

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