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Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis

CVPR 2022 · 3D vision › 3D generation · approach: Scene-aware human motion synthesis · 79 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the full hierarchical frameworkScene-aware motion synthesis · PROXFD: 126.46 -> 112.74Helped
Use the full hierarchical frameworkScene-aware motion synthesis · PROXAPD: 2.46 -> 2.77Helped
Add the Path Refiner (ablation)Motion completion network · PROXFD: 126.46 -> 112.74Helped
Add the Path Refiner (ablation)Motion completion network · Matterport3DAPD: 2.34 -> 2.57Helped
Add pose-related sampling to disperse anchors sharing an action (ablation)Anchor placement · PROXAnchor entropy: 2.62 -> 2.74Helped
Add the Place Refiner (ablation)Anchor placement with pose-related sampling · PROXAnchor entropy: 2.74 -> 2.77Helped
Use a learned Neural Mapper instead of standard A*Path planning · PROX planning1/2 path-distance STD: 0 -> 0.508Helped
Use a learned Neural Mapper instead of random noise (ablation)Path planning · PROX planningUser Study: 2.52(0.53) -> 4.27(0.52)Helped
Add random noise to A* path costs (ablation)Path planning · PROX planningUser Study: 4.31(0.48) -> 2.52(0.53)Hurt
Add the optimization post-process (ablation)Synthesized motions · PROXNon-Collision: 95.93 -> 99.61Helped
Include both translation and orientation from the planned path in positional encoding (ablation)Path Refiner · PROXNaturalnessHelped

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