Presentation

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Text-to-vector Generation With Neural Path Representation
SessionVector Graphics
DescriptionWe propose a novel pipeline to generate high-quality vector graphics based on text prompts. Utilizing neural path representation and a two-stage path optimization process, we can incorporate geometric constraints while preserving expressivity in the generated SVGs.
Authors
Peiying Zhang
City University of Hong Kong
Nanxuan Zhao
Adobe Research
Jing Liao
City University of Hong Kong
Event Type
Technical Paper
TimeMonday, 29 July 20249:00am - 9:10am MDT
LocationMile High 4
ACM Digital Library Journal Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Monday, 29 July 20249:00am - 10:30am MDTMile High 4
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Geometry
Modeling
Registration Categories
Full Conference
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Exhibitor Full Conference
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