PersonaGest uses a semantic-guided RVQ-VAE with a Semantic-Aware Motion Codebook and contrastive learning in stage one, followed by a Masked Generative Transformer and Style Residual Transformers in stage two, to achieve state-of-the-art co-speech gesture generation with semantic coherence and style
Speech drives templates: Co- speech gesture synthesis with learned templates
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PersonaGest: Personalized Co-Speech Gesture Generation with Semantic-Guided Hierarchical Motion Representation
PersonaGest uses a semantic-guided RVQ-VAE with a Semantic-Aware Motion Codebook and contrastive learning in stage one, followed by a Masked Generative Transformer and Style Residual Transformers in stage two, to achieve state-of-the-art co-speech gesture generation with semantic coherence and style