2024
Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
CVPR 2024poster
We propose a self-supervised approach for learning physics-based subspaces for real-time simulation. Existing learning-based methods construct subspaces by approximating pre-defined simulation data in a purely geometric way. However this approach tends to produce high-energy configurations leads to…