SOURCE-LINKED INTELLIGENCE
InteractGesture: Progressive Chunk Guidance for Continuous Streaming Co-Speech Gesture Control
Co-speech gesture generation has made significant progress toward realistic full-body motion from speaker audio, yet existing models lack fine-grained spatial controllability of individual joints. To address this, we introduce \emph{InteractGesture}, a model-agnostic, inference-time method for spatially controllable gesture generation. \emph{InteractGesture} guides target latent estimates of a diffusion sampler through a differentiable RVQ-VAE decoder, backpropagating spatial control gradients to adjust motion latents during sampling. A primary challenge in streaming co-speech generation is ch
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-26T12:46:26.000Z
First collected: 2026-09-21T09:22:01.459Z. This is not the publication date.