
The proposed method, SIGGesture, can synthesize high-quality and semantically relevant 3D co-speech gestures by leveraging large-scale pre-training diffusion models and semantic injection with Large Language Models (LLMs).


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generalized-co-speech-gesture-synthesis-via-semantic-injection-with-large-scale-pre-training-diffusion-models


Generalized Co-Speech Gesture Synthesis via Semantic Injection with Large-Scale Pre-Training Diffusion Models


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This paper introduces LLM Gesticulator, a novel framework that leverages large language models (LLMs) to generate realistic and controllable co-speech gestures from audio and text prompts, demonstrating superior performance compared to existing methods.


llm-gesticulator-a-novel-framework-for-synthesizing-controllable-co-speech-gestures-using-large-language-models


LLM Gesticulator: A Novel Framework for Synthesizing Controllable Co-Speech Gestures Using Large Language Models
