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DTSTAMP:20260114T163710Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T090000
DTEND;TZID=Australia/Melbourne:20231215T091000
UID:siggraphasia_SIGGRAPH Asia 2023_sess134_papers_380@linklings.com
SUMMARY:Curl Noise Jittering
DESCRIPTION:J. Andreas Bærentzen and Jeppe Revall Frisvad (Technical Unive
 rsity of Denmark) and Jonàs Martínez (INRIA)\n\nWe propose a method for im
 plicitly generating blue noise point sets. Our method is based on the obse
 rvations that curl noise vector fields are volume-preserving and that jitt
 ering can be construed as moving points along the streamlines of a vector 
 field. We demonstrate that the volume preservation keeps the points well s
 eparated when jittered using a curl noise vector field. At the same time, 
 the anisotropy that stems from regular lattices is significantly reduced b
 y such jittering. In combination, these properties entail that jittering b
 y curl noise effectively transforms a regular lattice into a point set wit
 h blue noise properties. Our implicit method does not require computing th
 e point collection in advance. This makes our technique valuable when an a
 rbitrarily large set of points with blue noise properties is needed. We co
 mpare our method to several other methods based on jittering as well as ot
 her methods for blue noise point set generation. Finally, we show several 
 applications of curl noise jittering in two and three dimensions.\n\nRegis
 tration Category: Full Access\n\nSession Chair: Juno Kim (University of Ne
 w South Wales; School of Optometry and Vision Science, Faculty of Medicine
  and Health, UNSW)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_380&sess=sess134
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