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SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion

CVPR 2018 · 3D vision › Face and shape · approach: Neural implicit surface reconstruction · 115 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Sobolev gradient flow instead of the L2 gradient for TSDF warpingSobolevFusion · Mechanical toy sequences (KillingFusion)geometric error: 3.9 mm -> 3.7 mm; 3.5 mm -> 3.1 mmHelped
Use Sobolev gradient flow for TSDF warpingSobolevFusion · Kinect sequences with interacting subjectsgeometric detailHelped
Use Sobolev gradient flow for TSDF warpingSobolevFusion · Warped Umbrella framesgeometric detailHelped
Use Sobolev gradient flow for TSDF warpingSobolevFusion · Alex sequence with reduced frame raterecoverable frame speedup: 10-frame speedup; 15-frame speedupHelped
Estimate correspondences using Laplacian eigenfunction signaturesSobolevFusion voxel matching · Vicon yt sequencemean ℓ1 error: 7.7 cm vs 4.4 cm; 7.7 cm vs 3.7 cmHurt
Reduce Sobolev neighbourhood size to s = 3 (ablation)SobolevFusion · Andrew-Chair sequencereconstruction quality: s = 3Hurt
Remove motion regularization (ablation)SobolevFusion · Andrew-Chair sequencegeometry consistency: wreg = 0Hurt
Increase the Sobolev filter parameter λ (ablation)SobolevFusion · SobolevFusion convergenceiterations to converge: 3-8%Helped
Use a Sobolev neighbourhood size s ≥ 7 rather than s = 3 (ablation)SobolevFusion · SobolevFusion parameter sweepreconstruction quality: s = 3; s ≥ 7Helped

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