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.
Speech-to- gesture generation: A challenge in deep learning approach with bi-directional LSTM
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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.