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A dual physics-informed neural network for topology optimization
We propose a novel dual physics-informed neural network for topology optimization (DPNN-TO), which merges physics-informed neural networks (PINNs) wit...
Oct 18, 2024
3 authors
471 views
PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups
Generating realistic group interactions involving multiple characters remains challenging due to increasing complexity as group size expands. While ex...
Jul 25, 2025
5 authors
99 views
Temporal Neural Operator for Modeling Time-Dependent Physical Phenomena
Neural Operators (NOs) are machine learning models designed to solve partial differential equations (PDEs) by learning to map between function spaces....
Apr 28, 2025
2 authors
565 views
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