Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios
IEEE/CVF Winter Conference on Applications of Computer Vision（2025）
关键词
Diffusion Model,Conditional Generative Adversarial Network,Gesture Generation,Large Values,Step Size,Control Signal,Unimodal Distribution,Sampling Step,Noise Values,Generator Speed,Simultaneous Generation,Drop In Quality,Geometric Loss,Time Step,Performance Of Method,Number Of Steps,Random Noise,Multistep Process,Generative Adversarial Networks,Real-time Tasks,Explicit Constraints,Decline In Quality,Geometric Constraints,Gaussian Assumption,Taylor Expansion,Latent Space,Fewer Steps,Motion Capture,Two-stage Method
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