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KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences

CVPR 2017 · 3D vision › Face and shape · approach: Articulated and non-rigid shape learning · 183 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use SDF-based registration without explicit correspondence searchKillingFusion · Duck sequenceaverage reconstruction error (mm): 5.362 mm -> 3.896 mmHelped
use SDF-based registration without explicit correspondence searchKillingFusion · Snoopy sequenceaverage reconstruction error (mm): 4.205 mm -> 3.543 mmHelped
remove level set property preservation (ablation)KillingFusion · qualitative reconstruction sequencevisual reconstruction qualityHurt
remove motion regularization (ablation)KillingFusion · qualitative reconstruction sequencevisual reconstruction qualityHurt
replace the damped Killing regularizer with conventional motion smoothness (ablation)KillingFusion · qualitative reconstruction sequencevisual reconstruction qualityHurt
set γ = 1, removing damping of the Killing condition (ablation)KillingFusion · qualitative reconstruction sequencepreservation of non-rigid partsHurt
use a damped Killing regularizer rather than standard motion smoothness alone (ablation)KillingFusion · qualitative reconstruction sequencegeometric consistencyHelped
use SDF level set evolution instead of mesh-based correspondence estimationKillingFusion · topological changes and rapid motionability to recover changing geometryHelped

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