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Generating Holistic 3D Human Motion From Speech

CVPR 2023 · 3D vision › Human pose estimation · approach: Physics and sensor-based motion capture · 160 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use wav2vec features instead of MFCC features for face generation (ablation)TalkSHOW face generator · TalkSHOW test setL2: 0.165 vs. 0.130Helped
Use wav2vec features instead of MFCC features for face generation (ablation)TalkSHOW face generator · TalkSHOW test setLVD: 0.277 vs. 0.251Helped
Use compositional codebooks instead of a single VQ-VAE codebook (ablation)TalkSHOW body and hand generator · TalkSHOW motion reconstructionREHelped
Add cross-conditioning between body and hand motion (ablation)TalkSHOW body and hand generator · TalkSHOW test setRS: 0.409 -> 0.414Helped
Add cross-conditioning between body and hand motion (ablation)TalkSHOW body and hand generator · TalkSHOW test setVariance: 0.922 -> 0.821Hurt
Add cross-conditioning between body and hand motion (ablation)TalkSHOW body and hand generator · TalkSHOW test setFGD: 147.81 -> 74.88Helped
Add cross-conditioning between body and hand motion (ablation)TalkSHOW body and hand generator · TalkSHOW test setBC: 0.851 -> 0.872Helped
Generate holistic face, body, and hand motion with TalkSHOW rather than Habibie et al.Speech-to-motion generation · TalkSHOW test setL2: 0.139 -> 0.130Helped
Generate holistic face, body, and hand motion with TalkSHOW rather than Habibie et al.Speech-to-motion generation · TalkSHOW test setVariation: 0 -> 0.821Helped
Use TalkSHOW rather than Audio VAE for body and hand motionBody and hand motion generation · TalkSHOW test setRS: 0.182 -> 0.414Helped
Use TalkSHOW rather than Audio+Motion VAE for body and hand motionBody and hand motion generation · TalkSHOW test setVariation: 0.176 -> 0.821Helped

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