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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250812T141000
DTEND;TZID=America/Los_Angeles:20250812T142000
UID:siggraph_SIGGRAPH 2025_sess103_papers_646@linklings.com
SUMMARY:Spline Deformation Field
DESCRIPTION:Mingyang Song (Disney Research Studios, ETH Zürich); Yang Zhan
 g (Disney Research Studios); Marko Mihajlovic and Siyu Tang (ETH Zürich); 
 Markus Gross (ETH Zürich, Disney Research Studios); and Tunc Ozan Aydin (D
 isney Research Studios)\n\nWe combine splines,  a classical tool from appl
 ied mathematics, with implicit Coordinate Neural Networks to model deforma
 tion fields, achieving strong performance across multiple datasets. The ex
 plicit regularization from spline interpolation enhances spatial coherency
  in challenging scenarios. We further introduce a metric based on Moran’s 
 I to quantitatively evaluate spatial coherence.\n\nInterest Area: Research
  & Education\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not R
 ecorded\n\nRegistration Category: Full Conference, Virtual Access, Tuesday
 \n\nSession Chair: Zhao Dong (Meta Reality Labs Research)\n\n
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