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Research map / 3D vision / Face and shape

Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow

CVPR 2022 · 3D vision › Face and shape · approach: Primitive-based shape abstraction · 42 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace unconstrained deformation with topology-preserving diffeomorphic flowNDF · Unseen organ shape reconstructionCD Mean: Pancreas: 0.63 -> 0.512; Liver: 0.509 -> 0.476; Lung: 0.669 -> 0.643Helped
Use quasi time-varying rather than stationary velocity fields (ablation)NDF · Pancreas, unseen shape reconstructionCD Mean: 1.42 -> 0.512Helped
Use quasi time-varying rather than time-varying velocity fields (ablation)NDF · Pancreas, unseen shape reconstructionCD Mean: 1.65 -> 0.512Helped
Add curriculum learning to four-step quasi time-varying flow (ablation)NDF · Pancreas, unseen shape reconstructionCD Mean: 0.516 -> 0.51Helped
Add curriculum learning to time-varying flow (ablation)NDF · Pancreas, unseen shape reconstructionCD Mean: 1.65 -> 125Hurt
Increase progressive flow steps from four to eight (ablation)NDF · Pancreas, unseen shape reconstructionCD Mean: 0.51 -> 0.51No clear effect
Remove point-pair smooth regularization (ablation)NDF · Pancreas, unseen shape reconstructionCD Mean: 0.51 -> 0.512No clear effect
Replace DIT deformation with NDF topology-preserving registrationNDF · D-FAUST chicken-wings sequence, testL2: 0.0121 -> 0.0032Helped
Use NDF rather than DIT for label transferNDF · MMWHS label transferIOU: 89.94 -> 92.38Helped

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