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Research map / 3D vision / NeRF and radiance fields

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

CVPR 2021 · 3D vision › NeRF and radiance fields · approach: Sparse-input NeRF regularization · 1,399 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add per-image appearance embeddings and transient/uncertainty fieldsNeRF · Phototourism landmarksPSNR: NeRF-W improves over the previous state of the art NRW by an average margin of 4.4dBHelped
Add per-image appearance embeddings (ablation)NeRF · Lego Color PerturbationsPSNR: 23.38±0.05 -> 30.66±1.38Helped
Add transient head and uncertainty modeling (ablation)NeRF · Lego OccludersPSNR: 19.35±0.11 -> 23.47±0.50Helped
Combine appearance embeddings with transient/uncertainty modeling (ablation)NeRF · Lego Colors Perturbations & OccludersPSNR: 15.73±3.13 -> 22.19±0.30Helped
Add appearance embeddings without transient head (ablation)NeRF-W · Lego Color PerturbationsPSNR: 31.51±0.28 -> 30.66±1.38Hurt
Remove appearance embedding (ablation)NeRF-W · Lego Color PerturbationsPSNR: 31.51±0.28 -> 24.87±0.52Hurt
Remove transient head (ablation)NeRF-W · Lego OccludersPSNR: 25.03±1.00 -> 22.71±0.63Hurt
Remove appearance embedding (ablation)NeRF-W · Lego OccludersPSNR: 25.03±1.00 -> 23.47±0.50Hurt
Train on color perturbations and occluders rather than clean imagesNeRF · LegoPSNR: 33.35±0.05 -> 15.73±3.13Hurt
Use NeRF-W rather than NeRF on clean data (ablation)NeRF · Lego OriginalPSNR: 33.35±0.05 -> 32.89±0.14No clear effect

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