Presentation

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Meschers: Geometry Processing of Impossible Objects
SessionShapes, Surfaces & Forms
DescriptionMeschers are a mesh representation for Escheresque geometry. They allow us to solve partial differential equations on the surface of an impossible object, meaning that we can find impossible shortest paths, perform mescher smoothing, and even inverse render a mescher from an image.
Authors
Ana Dodik
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)
Isabella Yu
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)
Kartik Chandra
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)
Jonathan Ragan-Kelley
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)
Joshua Tenenbaum
Massachusetts Institute of Technology (MIT)
Vincent Sitzmann
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)
Justin Solomon
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)
Event Type
Technical Paper
TimeMonday, 11 August 20254:25pm - 4:35pm PDT
LocationWest Building, Rooms 220-222
ACM Digital Library Journal Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 10 August 20256:00pm - 8:45pm PDTWest Building, Ballroom AB
Monday, 11 August 20253:45pm - 5:35pm PDTWest Building, Rooms 220-222
Recordings
Livestreamed
Recorded
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