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HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details

NeurIPS 2022 · 3D vision › Face and shape · approach: Neural implicit surface reconstruction · 47 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add high-frequency positional encoding directly (ablation)NeuS · NeRF-syntheticChamfer distance (1e-2): 2.51 -> 3.61Hurt
add high-frequency positional encoding directly (ablation)NeuS · BlendedMVSChamfer distance: 0.43 -> failHurt
add high-frequency positional encoding directly (ablation)NeuS · DTUPSNR: 31.77 -> 32.73Helped
add coarse-to-fine positional encoding (Base+C2F vs Base+H) (ablation)NeuS · BlendedMVSChamfer distance: fail -> 0.63Helped
coarse-to-fine alone (ablation)NeuS · NeRF-syntheticChamfer distance (1e-2): 2.51 -> 2.95Hurt
add implicit displacement function to coarse-to-fine (IDF+C2F vs Base+C2F) (ablation)NeuS · NeRF-syntheticChamfer distance (1e-2): 2.95 -> 1.35Helped
add position-adaptive s / adaptive transparency (FULL vs IDF+C2F) (ablation)HF-NeuS · NeRF-syntheticChamfer distance (1e-2): 1.35 -> 0.91Helped
add position-adaptive s (FULL vs IDF+C2F) (ablation)HF-NeuS · DTUChamfer distance: 0.89 -> 0.78Helped
add position-adaptive s (FULL vs IDF+C2F) (ablation)HF-NeuS · DTUPSNR: 32.13 -> 32.49Helped
full HF-NeuS vs NeuS baseline (ablation)NeuS · BlendedMVSChamfer distance: 0.43 -> 0.38Helped
use HF-NeuS instead of NeuSNeuS · NeRF-syntheticPSNR: 28.05 -> 28.66Mixed
remove Eikonal regularization on the base SDF (ablation)HF-NeuS · qualitativereconstruction qualityHurt

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