A spatial-tokenization transformer predicts deformable-body interactions accurately and scales to meshes beyond 100,000 nodes where graph baselines run out of memory.
A review of physics simulators for robotic applications.IEEE Access, 9:51416–51431, 2021
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Learning Deformable Body Interactions With Adaptive Spatial Tokenization
A spatial-tokenization transformer predicts deformable-body interactions accurately and scales to meshes beyond 100,000 nodes where graph baselines run out of memory.