Presentation / Installation


25. Neural Shape Diameter Function for Efficient Mesh Segmentation
SessionPosters: Geometry & Modeling
DescriptionBy leveraging a graph-based network architecture and message-passing mechanism, we revive the shape diameter function and express it as an unsupervised segmentation approach to achieve consistent object decompositions while avoiding resolution-dependent and computationally expensive raycasting with high-resolution meshes.
Contributor
Bruno Roy
Autodesk Research
Event Type
Poster
TimeThursday, 10 August 20239am - 5:30pm PDT
LocationWest Lobby Entrance
ACM Digital Library Poster PDF
Session Time & Location
Sunday, 6 August 20239am - 5:30pm PDTWest Lobby Entrance
Monday, 7 August 20239am - 5:30pm PDTWest Lobby Entrance
Tuesday, 8 August 20239am - 5:30pm PDTWest Lobby Entrance
Wednesday, 9 August 20239am - 5:30pm PDTWest Lobby Entrance
Thursday, 10 August 20239am - 5:30pm PDTWest Lobby Entrance
Keywords
Artificial Intelligence/Machine Learning
Modeling
Registration Categories
FC
FCS
E
EFC
EE
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