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A Generative Model for Volume Rendering
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Session TimeSunday, 28 July 201910:45am - 12:15pm
LocationTheatre 411
DescriptionThis work presents a technique to synthesize and analyze volume-rendered images using generative models. Our approach enables the user to treat such models as surrogate volume renderers, helping guide the user in manipulating visualization parameters through sensitivity analysis, and obtain an overview of volume features through a learned latent space.
Matthew Berger
Vanderbilt University
Jixian Li
University of Arizona
Joshua A. Levine
University of Arizona
Photography and Recording Policies
P/V Yes
Interest Areas
Research & Education
Primary Interest Areas
Research & Education
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