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FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis

AAAI 2020 · Image generation › Editing and style transfer · approach: Talking face generation · 48 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Combine landmark-guided fetching from five source images with appearance-based learningTalking facial animation synthesis · TIMITL1: 7.99 vs 8.31Helped
Combine landmark-guided fetching from five source images with appearance-based learningTalking facial animation synthesis · TIMITFID: 17.07 vs 30.50Helped
Combine landmark-guided fetching from five source images with appearance-based learningTalking facial animation synthesis · FaceForensicsL1: 10.20 vs 11.05Helped
Combine landmark-guided fetching from five source images with appearance-based learningTalking facial animation synthesis · FaceForensicsFID: 20.62 vs 23.98Helped
Use five source images rather than one (ablation)FLNet · Talking facial animationvisual detail fidelityHelped
Use five source images rather than three (ablation)FLNet · Talking facial animationvisual detail fidelityHelped
Add the warping-based fetching stream (ablation)Appearance-only FLNet · Talking facial animationvisual detail fidelityHelped
Add the appearance-based learning stream (ablation)Warping-only FLNet · Talking facial animationhidden-region fidelityHelped

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