Introduces a standardized human evaluation protocol for speech-driven gesture generation on BEAT2 and benchmarks six models, revealing saturated motion realism and unreliable prior alignment scores.
Robots learn social skills: End-to-end learning of co-speech gesture generation for humanoid robots
2 Pith papers cite this work. Polarity classification is still indexing.
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The contact matrix approach in a diffusion model, paired with specialized VQ-VAE, enables more precise and realistic generation of interactive duet dance motions compared to prior methods.
citing papers explorer
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Towards Reliable Human Evaluations in Gesture Generation: Insights from a Community-Driven State-of-the-Art Benchmark
Introduces a standardized human evaluation protocol for speech-driven gesture generation on BEAT2 and benchmarks six models, revealing saturated motion realism and unreliable prior alignment scores.
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Contact Matrix: Enhancing Dance Motion Synthesis with Precise Interaction Modeling
The contact matrix approach in a diffusion model, paired with specialized VQ-VAE, enables more precise and realistic generation of interactive duet dance motions compared to prior methods.