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Research map / 3D vision / NeRF and radiance fields

Ray Priors Through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation

CVPR 2022 · 3D vision › NeRF and radiance fields · approach: Sparse-input NeRF regularization · 30 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add random ray casting (RRC) (ablation)NeRF · MobileObjectPSNR: 24.05 -> 27.55Helped
Add ray atlas (RA) (ablation)NeRF · MobileObjectPSNR: 24.05 -> 25.29Helped
Add both RRC and RA (ablation)NeRF · MobileObjectPSNR: 24.05 -> 28.90Helped
Set RRC elevation threshold η to 10° rather than 30° (ablation)RapNeRF · SkullPSNR: 27.86 -> 26.89Hurt
Set RRC elevation threshold η to 20° rather than 30° (ablation)RapNeRF · SkullPSNR: 27.86 -> 27.32Hurt
Set RRC elevation threshold η to 40° rather than 30° (ablation)RapNeRF · SkullPSNR: 27.86 -> 26.72Hurt
Set RRC elevation threshold η to 50° rather than 30° (ablation)RapNeRF · SkullPSNR: 27.86 -> 27.38Hurt
Set RRC elevation threshold η to 60° rather than 30° (ablation)RapNeRF · SkullPSNR: 27.86 -> 27.29Hurt
Use RapNeRF for novel-view extrapolation instead of the strongest listed baselineNeRF and its compared variants · Synthetic-NeRF*PSNR: 26.37 -> 27.63Helped
Use RapNeRF for novel-view extrapolation instead of the strongest listed baselineNeRF and its compared variants · MobileObjectPSNR: 26.69 -> 28.90Helped

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