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VERSION:2.0
PRODID:Linklings LLC
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TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030653Z
LOCATION:Meeting Room S421\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251215T151100
DTEND;TZID=Asia/Hong_Kong:20251215T152200
UID:siggraphasia_SIGGRAPH Asia 2025_sess108_tog_103@linklings.com
SUMMARY:Local Surface Parameterizations via Smoothed Geodesic Splines
DESCRIPTION:Abhishek Madan (University of Toronto) and David I.W. Levin (U
 niversity of Toronto, NVIDIA)\n\nWe present a general method for computing
  local parameterizations rooted at a point on a surface, where the surface
  is described only through a signed implicit function and a corresponding 
 projection function. Using a two-stage process, we compute several points 
 radially emanating from the map origin, and interpolate between them with 
 a spline surface. The narrow interface of our method allows it to support 
 several kinds of geometry such as signed distance functions, general analy
 tic implicit functions, triangle meshes, neural implicits, and point cloud
 s. We demonstrate the high quality of our generated parameterizations on a
  variety of examples, and show applications in local texturing and surface
  curve drawing.\n\nRegistration Category: Full Access, Full Access Support
 er\n\nSession Chair: Xiao-Ming Fu (University of Science and Technology of
  China)\n\n
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