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Research map / 3D vision / Face and shape

Parametric Implicit Face Representation for Audio-Driven Facial Reenactment

CVPR 2023 · 3D vision › Face and shape · approach: Speech-driven 3D facial animation · 13 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Increase sequence length from k=1 to k=100 (ablation)PIR audio-to-expression encoder · Sequence-length ablationLMD: 2.556 -> 1.477Helped
Increase sequence length from k=1 to k=100 (ablation)PIR audio-to-expression encoder · Sequence-length ablationAVConf: 4.201 -> 7.071Helped
Increase sequence length from k=10 to k=100 (ablation)PIR audio-to-expression encoder · Sequence-length ablationLMD: 2.273 -> 1.477Helped
Increase sequence length from k=10 to k=100 (ablation)PIR audio-to-expression encoder · Sequence-length ablationAVConf: 4.505 -> 7.071Helped
Increase sequence length from k=50 to k=100 (ablation)PIR audio-to-expression encoder · Sequence-length ablationLMD: 1.626 -> 1.477Helped
Increase sequence length from k=50 to k=100 (ablation)PIR audio-to-expression encoder · Sequence-length ablationAVConf: 6.873 -> 7.071Helped
Increase sequence length from k=100 to k=200 (ablation)PIR audio-to-expression encoder · Sequence-length ablationLMD: 1.477 -> 1.650Hurt
Increase sequence length from k=100 to k=200 (ablation)PIR audio-to-expression encoder · Sequence-length ablationAVConf: 7.071 -> 6.929Hurt

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