Presentation

Physics-informed Learning of Characteristic Trajectories for Smoke Reconstruction
DescriptionWe introduce Neural Characteristic Trajectory Fields, a novel representation utilizing Eulerian neural fields to implicitly model Lagrangian fluid trajectories for video-based fluid reconstruction. This topology-free, auto-differentiable representation facilitates end-to-end supervision, encompassing long-term conservation and short-term physics priors. It offers advancements in high-fidelity fluid reconstruction across synthetic and real scenes.
Event Type
Technical Paper
TimeWednesday, 31 July 20249:50am - 10:00am MDT
LocationMile High 4
Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Wednesday, 31 July 20249:00am - 10:30am MDTMile High 4
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Animation
Modeling
Registration Categories
Full Conference
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Virtual Access
Exhibitor Full Conference
Wednesday