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TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20250522T212946Z
LOCATION:Mile High 4
DTSTART;TZID=America/Denver:20240730T141000
DTEND;TZID=America/Denver:20240730T142000
UID:siggraph_SIGGRAPH 2024_sess117_papers_754@linklings.com
SUMMARY:Fluid Control With Laplacian Eigenfunctions
DESCRIPTION:Yixin Chen (University of Toronto); David Levin (University of
  Toronto, NVIDIA); and Timothy Langlois (Adobe Research)\n\nWe introduce a
  novel physics-based fluid control pipeline using Laplacian Eigenfluids. U
 tilizing the adjoint method, the derivative computation of the control pro
 blem is efficient and easy to formulate. Our method is fast enough to supp
 ort real-time fluid editing and control, which also naturally supports mul
 ti-resolution and frequency control.\n\nInterest Area: Research & Educatio
 n\n\nRecording: Livestreamed, Recorded\n\nKeyword: Animation\n\nRegistrati
 on Category: Full Conference, Full Conference Supporter, Virtual Access, E
 xhibitor Full Conference, Tuesday\n\nSession Chair: Benedikt Bitterli (NVI
 DIA)\n\n
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