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High-Fidelity Generalized Emotional Talking Face Generation With Multi-Modal Emotion Space Learning

CVPR 2023 · Image generation › Editing and style transfer · approach: Talking face generation · 37 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add emotion consistency loss (ablation)EAC · MEAD basic stylesEFD: 0.096 -> 0.065Helped
add emotion consistency loss (ablation)EAC · MEAD basic stylesLMD: 2.40 -> 2.31Helped
add emotion consistency loss (ablation)EAC · MEAD basic stylesSync: 3.53 -> 3.57Helped
replace one-hot emotion encoding with CLIP (ablation)emotion encoding · MEAD basic stylesEFD: 0.070 -> 0.065Helped
replace GPT2 emotion encoding with CLIP (ablation)emotion encoding · MEAD basic stylesEFD: 0.067 -> 0.065Helped
replace MLPs with a Transformer in EAC (ablation)EAC · MEAD basic stylesEFD: 0.122 -> 0.065Helped
replace GRUs with a Transformer in EAC (ablation)EAC · MEAD basic stylesEFD: 0.088 -> 0.065Helped
add residual flow refinement at each scale (ablation)HEF · MEAD basic stylesEFD: 0.082 -> 0.065Helped
add hierarchical flow updates instead of fixed 64 × 64 flow (ablation)HEF · MEAD basic stylesEFD: 0.076 -> 0.065Helped
use text rather than audio or image emotion conditioningOurs · MEADEFD: 0.069 / 0.071 -> 0.065Helped
use text rather than audio or image emotion conditioningOurs · MEADFID: 15.91 / 15.89 -> 15.90No clear effect

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