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洞見 - Co-Speech Gesture Synthesis
Generalized Co-Speech Gesture Synthesis via Semantic Injection with Large-Scale Pre-Training Diffusion Models
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).
LLM Gesticulator: A Novel Framework for Synthesizing Controllable Co-Speech Gestures Using Large Language Models
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.
