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Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors

CVPR 2023 · 3D vision › Face and shape · approach: Neural implicit surface reconstruction · 11 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add unbiased SDF-to-density transform (scale SDF by angle to normal) without geometry priors (ablation)NeuS · DTUChamfer distance (mean): 0.84 -> 0.71Helped
Add MVS geometry priors (zero-level-set supervision from CasMVSNet points) to NeuS-style rendering (ablation)NeuS · DTUChamfer distance (mean): 0.84 -> 0.65Helped
Combine unbiased rendering with MVS geometry priors (full model) (ablation)NeuS · DTUChamfer distance (mean): 0.84 -> 0.60Helped
Unbiased rendering with no geometry priors vs NeuralWarpNeuS · DTUChamfer distance (mean): 0.71 vs 0.68No clear effect
Full method vs NeuS and VolSDF on view synthesisNeuS · DTUPSNR (mean): 31.97 -> 32.24Helped

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