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Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis

CVPR 2022 · 3D vision › NeRF and radiance fields · approach: Single-view and streaming radiance fields · 43 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use surface-aligned representation and dispersed projection instead of the compared baseline representationsSurface-Aligned NeRF · ZJU-MoCap unseen posePSNR: 23.49 -> 24.42Helped
Use surface-aligned representation and mesh-aligned deformationSurface-Aligned NeRF · Human3.6M unseen posePSNR: 22.55 -> 23.25Helped
Add skeleton pose input (ablation)Surface-Aligned NeRF · ZJU-MoCap KickPSNR: 26.58 -> 27.77Helped
Add skeleton pose input (ablation)Surface-Aligned NeRF · ZJU-MoCap KickSSIM: 0.915 -> 0.927Helped
Use dispersed projection instead of nearest point projection (ablation)Surface-Aligned NeRF · ZJU-MoCap KickPSNR: 27.38 -> 27.77Helped
Use dispersed projection instead of nearest point projection (ablation)Surface-Aligned NeRF · ZJU-MoCap KickSSIM: 0.923 -> 0.927Helped

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