Presentation

<
N-Dimensional Gaussians for Fitting of High Dimensional Functions
SessionRadiance Field Processing
DescriptionWe propose the use of N-Dimensional Gaussian mixtures to fit high dimensional functions, applicable to various applications such as neural global illumination and novel view synthesis for complex anisotropic effects. Our method offers quality similar to implicit methods with orders of magnitude faster training as we demonstrate in two applications.
Authors
Stavros Diolatzis
Intel Labs
Tobias Zirr
Intel Labs
Alexander Kuznetsov
Intel Labs
Georgios Kopanas
INRIA, Université Côte d'Azur
Anton Kaplanyan
Intel Labs
Event Type
Technical Paper
TimeThursday, 1 August 20242:30pm - 2:40pm MDT
LocationMile High 1
ACM Digital Library Journal Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Thursday, 1 August 20242:00pm - 3:30pm MDTMile High 1
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Registration Categories
Full Conference
Full Conference Supporter
Virtual Access
Exhibitor Full Conference
Thursday
Next PresentationNext PresentationBinary Opacity Grids: Capturing Fine Geometric Detail for Mesh-based View Synthesis