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Flexible Motion Generation from Language and Style References

Lan, Kai Weixian et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitiongraphicsmachine-learning
We introduce FlexMoGen, a novel framework for flexible human motion synthesis conditioned on both natural language descriptions and motion style references. Text prompts are effective at defining semantic content, but they are often limited in capturing fine-grained style details such as timing, lim
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