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DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250811T162500
DTEND;TZID=America/Los_Angeles:20250811T163500
UID:siggraph_SIGGRAPH 2025_sess140_papers_1425@linklings.com
SUMMARY:Meschers: Geometry Processing of Impossible Objects
DESCRIPTION:Ana Dodik, Isabella Yu, Kartik Chandra, and Jonathan Ragan-Kel
 ley (Computer Science and Artificial Intelligence Laboratory (CSAIL), Mass
 achusetts Institute of Technology (MIT)); Joshua Tenenbaum (Massachusetts 
 Institute of Technology (MIT)); and Vincent Sitzmann and Justin Solomon (C
 omputer Science and Artificial Intelligence Laboratory (CSAIL), Massachuse
 tts Institute of Technology (MIT))\n\nMeschers are a mesh representation f
 or Escheresque geometry. They allow us to solve partial differential equat
 ions on the surface of an impossible object, meaning that we can find impo
 ssible shortest paths, perform mescher smoothing, and even inverse render 
 a mescher from an image.\n\nInterest Area: Research & Education\n\nRecordi
 ng: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegistration
  Category: Full Conference, Virtual Access, Monday\n\nSession Chair: Eugen
 e Zhang (Oregon State University)\n\n
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