Collision-aware interactive simulation using graph neural networks
Abstract Deep simulations have gained widespread attention owing to their excellent acceleration performances. However, these methods cannot provide effective collision detection and response strategies. We propose a deep interactive physical simulation framework that can effectively address tool-ob...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-06-01
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Series: | Visual Computing for Industry, Biomedicine, and Art |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42492-022-00113-4 |