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
Event Type
Poster
TimeTuesday, 8 August 20239am - 5:30pm PDT
LocationWest Lobby Entrance
ACM Digital Library
Poster PDF
Session Time & Location
Artificial Intelligence/Machine Learning
Modeling
FC
FCS
E
EFC
EE