Network of Theseus progressively replaces guide network modules with a different target architecture via representational alignment, preserving performance across vastly different deployed architectures.
RigidFormer is a transformer that learns mesh-free rigid-body dynamics via object-level anchors and differentiable Kabsch projection, outperforming mesh-based baselines with faster inference and scalability to 200+ objects.