Towards Unified Co-Speech Gesture Generation via Hierarchical Implicit Periodicity Learning
Analysis
This article describes research on generating gestures that synchronize with speech. The approach uses hierarchical implicit periodicity learning, suggesting a focus on capturing rhythmic patterns in both speech and movement. The title indicates a move towards a unified model, implying an attempt to create a generalizable system for gesture generation.
Key Takeaways
Reference
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