What Physics do Data-Driven MoCap-to-Radar Models Learn?

This research introduces a physics-based interpretability framework to assess what physics data-driven MoCap-to-radar models learn. It finds that low reconstruction error doesn't guarantee physical consistency, and temporal attention is critical for transformer-based models to learn the underlying physics.