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Bilinear Parameterization for Non-Separable Singular Value Penalties

CVPR 2021 · Optimization › Nonconvex and smooth optimization · approach: Coordinate and Adam convergence analysis · 3 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the bilinear formulation instead of ADMM with weighted nuclear norm regularizationStructure-from-motion matrix recovery · Cathedral, Door, and Écolelog-loss: Cathedral: -2.4548 -> -3.8110; Door: -1.6247 -> -4.6275; École: -1.6869 -> -4.4264Helped
Use the bilinear formulation instead of ADMM with the best reported LI or SV weightsStructure-from-motion matrix recovery · Back, Heart, and Paperlog-loss: Back: -5.2560 -> -5.2863; Heart: -5.0829 -> -5.1153; Paper: -5.8509 -> -5.9023Helped
Replace ADMM with the bilinear methodNon-rigid structure from motion · Articulated, Balloon, Paper, Stretch, and Tearinglog-loss: Articulated: -2.221 -> -2.415; Balloon: -2.529 -> -2.657; Paper: -2.338 -> -2.560; Stretch: -2.395 -> -2.622; Tearing: -Helped
Replace ADMM with the bilinear methodNon-rigid structure from motion · Balloon, Paper, Stretch, and Tearingreconstruction error (mm): Balloon: 9.29 -> 8.29; Paper: 6.95 -> 6.70; Stretch: 7.83 -> 7.66; Tearing: 29.90 -> 11.26Helped
Replace ADMM with the bilinear methodNon-rigid structure from motion · Articulatedreconstruction error (mm): 14.55 -> 16.10Hurt

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