Presentation
Neural Gaussian Scale-space Fields
SessionSpatial Data Structures
DescriptionWe present a method to learn a fully continuous Gaussian scale-space from raw data. This allows efficient and flexible anisotropic filtering and can be used to create multiscale representations across a broad range of modalities and applications.
Event Type
Technical Paper
TimeThursday, 1 August 20249:50am - 10:00am MDT
LocationMile High 2A
ACM Digital Library
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Conference Papers' PDFs
Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Thursday, 1 August 20249:00am - 10:30am MDTMile High 2A
Research & Education
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Geometry
Modeling
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