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Research map / 3D vision / 3D generation

Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans From a Single Camera

CVPR 2022 · 3D vision › 3D generation · approach: Scene-aware human motion synthesis · 10 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the proposed 3D motion descriptor and compositional renderer rather than DIWDynamic human rendering · YouTube 1, YouTube 2, YouTube 3, MPI, Custom 1, Custom 2SSIM and LPIPS ×100Helped
Add shape prediction (ablation)Full rendering method · Custom 2 (15K)LPIPS ×100: 4.31 -> 3.81Helped
Add shape prediction (ablation)Full rendering method · Custom 2 (15K)SSIM: 0.945 -> 0.946Helped
Add shape prediction (ablation)Full rendering method · Custom 2 (15K)tLPIPS ×100: 0.401 -> 0.404Hurt
Replace 3D motion descriptors with dense UV renderings as decoder input (ablation)Full rendering method · Custom 2Perceptual qualityHurt
Remove surface-normal prediction (ablation)Full rendering method · Custom 2Perceptual qualityHurt
Train with 10% of the original framesOurs versus DIW · Custom 1 and Custom 2Generalization to unseen posesHelped

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