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Research map / 3D vision / Face and shape

Joint Texture and Geometry Optimization for RGB-D Reconstruction

CVPR 2020 · 3D vision › Face and shape · approach: Textured mesh generation · 35 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add key-frame color consistency optimization (ablation)Proposed joint texture and geometry optimization · Reconstructed model textureColor consistencyHelped
Add geometry optimization (ablation)Proposed joint texture and geometry optimization · Tomb-statuary and BricksEc convergenceHelped
Increase λL and λR from 1000 to 1 × 105 (ablation)Proposed geometry optimization · Reconstructed model geometryGeometry detail and noiseMixed
Increase λC from 1 to 100 and λH from 1 × 104 to 1 × 106 (ablation)Proposed geometry optimization · Reconstructed model geometryGeometry detail and vertex stabilityMixed
Increase λC from 1 to 100 (ablation)Proposed geometry optimization · Reconstructed model geometryTiny and high-frequency detailMixed
Increase λH from 1 × 104 to 1 × 106 (ablation)Proposed geometry optimization · Reconstructed model geometryHigh-frequency detailMixed

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