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ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech. (arXiv:2209.07556v1 [cs.GR])
Sept. 19, 2022, 1:11 a.m. | Saeed Ghorbani, Ylva Ferstl, Daniel Holden, Nikolaus F. Troje, Marc-André Carbonneau
cs.LG updates on arXiv.org arxiv.org
We present ZeroEGGS, a neural network framework for speech-driven gesture
generation with zero-shot style control by example. This means style can be
controlled via only a short example motion clip, even for motion styles unseen
during training. Our model uses a Variational framework to learn a style
embedding, making it easy to modify style through latent space manipulation or
blending and scaling of style embeddings. The probabilistic nature of our
framework further enables the generation of a variety of outputs …
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