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Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints

AAAI 2022 · 3D vision › Face and shape · approach: Face reflectance and relightable rendering · 8 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add identity-consistent constraint (ablation)CPEM · FEAFA test setMAE: 0.495 -> 0.269Helped
add expression-exclusive constraint to identity-consistent CPEM (ablation)CPEM · FEAFA test setMAE: 0.269 -> 0.244Helped
add both identity-consistent and expression-exclusive constraints (ablation)CPEM · FEAFA test setMAE: 0.495 -> 0.244Helped
use λidc=1000 rather than λidc=1 (ablation)CPEM · FEAFA test setMAE: 0.491 -> 0.244Helped
increase λidc from 100 to 1000 (ablation)CPEM · FEAFA test setMAE: 0.286 -> 0.244Helped
increase λidc from 1000 to 10000 (ablation)CPEM · FEAFA test setMAE: 0.244 -> 0.279Hurt
set λexp to 1 rather than 10 (ablation)CPEM · FEAFA test setMAE: 0.244 -> 0.260Hurt
increase λexp from 10 to 100 (ablation)CPEM · FEAFA test setMAE: 0.244 -> 0.255Hurt
use CPEM instead of the strongest listed baseline 3DDFA-v2AFLW2000-3D · AFLW2000-3DNME (%) mean: 3.65 vs. 3.64No clear effect
use CPEM instead of 3DDFA-v2MICC Florence · MICC Florencegeometric reconstruction error (mm): 1.94±0.52 vs. 2.08±0.59; 2.10±0.50 vs. 2.09±0.54; 1.98±0.49 vs. 2.02±0.54Mixed
use CPEM instead of 3DDFA-v2FaceWarehouse · FaceWarehousegeometric reconstruction error (mm): 2.26±0.43 -> 2.03±0.33Helped
use CPEM rather than MS-SFN, RingNet, or Personalizedfacial motion retargeting · FEAFA test setMAE: 0.496, 0.390, 0.397 -> 0.244Helped

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