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Research map / 3D vision / Face and shape

Implicit Neural Head Synthesis via Controllable Local Deformation Fields

CVPR 2023 · 3D vision › Face and shape · approach: Gaussian and implicit head avatars · 13 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use landmark-centered local deformation fields, attention masks, and local control lossImplicit Neural Head Synthesis · Subject1 testLPIPS: 0.0552 -> 0.0465Helped
use landmark-centered local deformation fields, attention masks, and local control lossImplicit Neural Head Synthesis · Subject2 testLPIPS: 0.120 -> 0.0576Helped
use landmark-centered local deformation fields, attention masks, and local control lossImplicit Neural Head Synthesis · Subject3 testLPIPS: 0.052 -> 0.0265Helped
use landmark-centered local deformation fields, attention masks, and local control lossImplicit Neural Head Synthesis · Subject4 testLPIPS: 0.063 -> 0.062Helped
use the full method rather than the strongest baselineImplicit Neural Head Synthesis · Subject4 testℓ1: 0.065 -> 0.081Hurt
use the full method rather than the strongest baselineImplicit Neural Head Synthesis · Subject4 testSSIM: 0.844 -> 0.830Hurt
use the full method rather than the strongest baselineImplicit Neural Head Synthesis · Subject4 testPSNR: 19.253 -> 19.085Hurt
add the attention mask to filter expression parameters by local relevance (ablation)Implicit Neural Head Synthesis · Subject1 testLPIPS: 0.0487 -> 0.0465Helped
add the local control loss (ablation)Implicit Neural Head Synthesis · Subject1 testLPIPS: 0.0486 -> 0.0465Helped
replace a global deformation field with multiple local deformation fields (ablation)Implicit Neural Head Synthesis · Subject1 testLPIPS: 0.0552 -> 0.0465Helped
increase local-field landmarks from 5 to 34 (ablation)Implicit Neural Head Synthesis · test sequencesreconstruction detailHelped

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