WebTo address this issue, we propose a generative model based on normalizing flows for stylizing long and aperiodic animations in the VR scene. Our approach breaks down this task into two sub-problems: motion style transfer and stylized motion generation, both formulated as the instances of conditional normalizing flows with multi-class latent space. WebIEEE DataPort™ is designed to be a one-stop shop to serve the data analytics community! What Capabilities Does IEEE DataPort™ Provide? 1. Enable individuals and institutions to store datasets long-term and make datasets accessible to a broad set of researchers, engineers and industry; 2.
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StyleVR: Stylizing Character Animations with Normalizing Flows
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