Neural Clustering for Prefractured Mesh Generation in Real-time Object Destruction
SessionPosters Gallery
DescriptionPrefracture method is a practical implementation for real-time object destruction that is hardly achievable within performance constraints, but can produce unrealistic results due to its heuristic nature. We approach the clustering of prefractured mesh generation as an unordered segmentation on point cloud data, and propose leveraging the deep neural network trained on a physics-based dataset, identifying the structural weakness of object that have been limited.
Event Type
Poster
TimeWednesday, 4 December 20248:00am - 6:00pm JST
LocationLobby Gallery (1) & (2), G Block, Level B1
TE
EH
