Presentation
69. PictorialAttributes: Depicting Multiple Attributes with Realistic Imaging
DescriptionTraditional visualizations often use abstract graphics, limiting understanding and memorability. Existing methods for pictorial visualization are more engaging, but often create disjointed compositions. To address this, we propose PictorialAttributes, a technique utilizing LLMs and diffusion models to depict data attributes. Examples show its promise for compelling and informative pictorial visualizations.
Event Type
Poster
TimeMonday, 29 July 20249:00am - 5:30pm MDT
LocationMile High Pre-Function Area
Session TimeSunday, 28 July 20249:00am - 5:30pm MDTMonday, 29 July 20249:00am - 5:30pm MDTTuesday, 30 July 20249:00am - 5:30pm MDTWednesday, 31 July 20249:00am - 5:30pm MDTThursday, 1 August 20249:00am - 5:30pm MDT
LocationMile High Pre-Function Area
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