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Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation

CVPR 2022 · Vision-language and multimodal › Cross-modal learning · approach: Audio-visual speech separation · 128 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use hierarchical pose generation instead of holistic pose generation (ablation)HA2G · TED-ExpressiveFGD: 11.989 -> 5.306Helped
Add hand hierarchy (ablation)HA2G · TED-ExpressiveFGD: 10.832 -> 5.306Helped
Add body hierarchy (ablation)HA2G · TED-ExpressiveFGD: 5.882 -> 5.306Helped
Use distinct audio features for each pose hierarchy level (ablation)HA2G · TED-ExpressiveFGD: 6.801 -> 5.306Helped
Add physical pose regularization (ablation)HA2G · TED-ExpressiveFGD: 5.907 -> 5.306Helped
Use multiple audio-feature levels instead of only low-level features (ablation)HA2G · TED-ExpressiveFGD: 6.588 -> 5.306Helped
Use multiple audio-feature levels instead of only mid-level features (ablation)HA2G · TED-ExpressiveFGD: 7.212 -> 5.306Helped
Use multiple audio-feature levels instead of only high-level features (ablation)HA2G · TED-ExpressiveFGD: 7.421 -> 5.306Helped
Add high-level audio negatives to contrastive learning (ablation)HA2G · TED-ExpressiveFGD: 7.982 -> 5.306Helped
Add low- and mid-level audio negatives to contrastive learning (ablation)HA2G · TED-ExpressiveFGD: 6.998 -> 5.306Helped
Add transcript-guided audio-text contrastive learning (ablation)HA2G · TED-ExpressiveFGD: 9.228 -> 5.306Helped
Replace contrastive audio learning with a pretrained ASR encoder (ablation)HA2G · TED-ExpressiveFGD: 5.319 vs 5.306No clear effect

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