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Instant-NVR: Instant Neural Volumetric Rendering for Human-Object Interactions From Monocular RGBD Stream

CVPR 2023 · 3D vision › NeRF and radiance fields · approach: Inverse rendering with neural fields · 23 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use Instant-NVR instead of the strongest listed baseline, NeuralHOFusionHuman-object interaction rendering · Human-object interactionsPSNR: 21.09 -> 27.81Helped
use Instant-NVR instead of the strongest listed baseline, NeuralHOFusionHuman-object interaction rendering · Human-object interactionsRendering time: ~0.151s -> 0.023sHelped
add rendering-aware refinement to selected key frames (ablation)Online human rendering · Online human renderingPSNR: 25.768 -> 28.255Helped
add rendering-aware refinement to selected key frames (ablation)Online object rendering · Online object renderingPSNR: 26.747 -> 28.826Helped
select key frames by motion diversity and complementary visibility instead of fixed intervals (ablation)Online human rendering · Online human renderingPSNR: 23.071 -> 25.768Helped
select key frames by motion diversity and complementary visibility instead of fixed intervals (ablation)Online object rendering · Online object renderingPSNR: 25.248 -> 26.747Helped
add fast motion-prior search (ablation)Instant-NVR rendering training · Rendering trainingTime: 205.53ms -> 17.95msHelped
add the implicit pose-conditioned deformation net to the explicit deformation block (ablation)Instant-NVR human rendering · Human-object interactionsRendering qualityHelped

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