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Research map / 3D vision / NeRF and radiance fields

Neural Sparse Voxel Fields

NeurIPS 2020 · 3D vision › NeRF and radiance fields · approach: Inverse rendering with neural fields · 11 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace NeRF with NSVFNeRF · Synthetic-NeRFPSNR: 31.01 -> 31.74Helped
Replace NeRF with NSVFNeRF · Synthetic-NSVFPSNR: 30.81 -> 35.13Helped
Replace NeRF with NSVFNeRF · BlendedMVSPSNR: 24.15 -> 26.90Helped
Replace NeRF with NSVFNeRF · Tanks and TemplesPSNR: 25.78 -> 28.40Helped
Replace NeRF with NSVFNeRF · Multi-scene Synthetic-NeRF + Synthetic-NSVFPSNR: 25.71 -> 30.68Helped
Add early termination with ε=0.010 (ablation)NSVF · WineholderSpeed: 4.0 -> 2.0Helped
Add early termination with ε=0.010 (ablation)NSVF · WineholderPSNR: 31.93 -> 32.04No clear effect
Raise the early termination threshold to ε=0.100 (ablation)NSVF · WineholderPSNR: 32.04 -> 29.99Hurt
Increase progressive training rounds from 1 to 4 (ablation)NSVF · WineholderPSNR: 28.82 -> 30.89Helped
Reduce voxel size from 1 to 1/8 (ablation)NSVF · WineholderPSNR: 28.82 -> 30.17Helped
Add the depth loss (ablation)NSVF · ScanNet (one scene)RMSE: 0.210 -> 0.079Helped
Add the depth loss (ablation)NSVF · ScanNet (one scene)PSNR: 25.07 -> 25.48Helped

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