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Shape and Material from Sound

NeurIPS 2017 · 3D vision › Face and shape · approach: Single-view 3D reconstruction · 22 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add self-supervised network initialization (ablation)unsupervised analysis-by-synthesis · Synthetic falling objects, 80 MCMC sweepsspecific modulus accuracy: 56% -> 62%Helped
Add self-supervised network initialization (ablation)unsupervised analysis-by-synthesis · Synthetic falling objects, 80 MCMC sweepsshape accuracy: 54% -> 52%No clear effect
Add self-supervised network initialization (ablation)unsupervised analysis-by-synthesis · Synthetic falling objects, 80 MCMC sweepsRayleigh beta MSE: 0.173 -> 0.117Helped
Add weak-label network initialization (ablation)unsupervised analysis-by-synthesis · Synthetic falling objects, 80 MCMC sweepsshape accuracy: 54% -> 62%Helped
Add weak-label network initialization (ablation)unsupervised analysis-by-synthesis · Synthetic falling objects, 80 MCMC sweepsspecific modulus accuracy: 56% -> 66%Helped
Add weak-label network initialization (ablation)unsupervised analysis-by-synthesis · Synthetic falling objects, 80 MCMC sweepsheight MSE: 0.003 -> 0.005Hurt
Add self-supervised initialization (ablation)unsupervised analysis-by-synthesis · Likelihood over MCMC sweepsconvergence speedHelped
Use full ground-truth supervision instead of unsupervised inferencerecognition model · Synthetic falling objects, 80 MCMC sweepsshape accuracy: 54% -> 98%Helped
Apply amplitude cutoff in audio synthesis (ablation)audio engine · 200-collision synthesistime (s): 30.4 -> 24.5Helped
Select principal modes (90% energy) (ablation)audio engine · 200-collision synthesistime (s): 30.4 -> 12.7Helped
Multi-threading collisions (ablation)audio engine · 200-collision synthesistime (s): 30.4 -> 1.5Helped
Combine all speedups (ablation)audio engine · 200-collision synthesistime (s): 30.4 -> 0.8Helped

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