4 papers · 1 filter
InteractGesture: Progressive Chunk Guidance for Continuous Streaming Co-Speech Gesture Control
Ekkasit Pinyoanuntapong, Ajinkya Deogade, Paul Streli +5
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 in…
KHMP: Frequency-Domain Kalman Refinement for High-Fidelity Human Motion Prediction
Wenhan Wu, Zhishuai Guo, Chen Chen +4
Stochastic human motion prediction aims to generate diverse, plausible futures from observed sequences. Despite advances in generative modeling, existing methods often produce pred…
BAMM: Bidirectional Autoregressive Motion Model
Ekkasit Pinyoanuntapong, Muhammad Usama Saleem, Pu Wang +3
Generating human motion from text has been dominated by denoising motion models either through diffusion or generative masking process. However, these models face great limitations…
MMM: Generative Masked Motion Model
Ekkasit Pinyoanuntapong, Pu Wang, Minwoo Lee +1
Recent advances in text-to-motion generation using diffusion and autoregressive models have shown promising results. However, these models often suffer from a trade-off between rea…