SOURCE-LINKED INTELLIGENCE

MeshPriorDiT: Hierarchical Modeling for Action-Conditioned Cloth Dynamics

arXiv · AI, language, vision and robotics · article · Aug 27, 2026 · UTC

Action-conditioned cloth dynamics prediction requires both locally plausible deformation and long-range coordination. Existing approaches largely follow two paradigms. Mesh-based GNNs capture local physical responses through material connectivity. However, their finite message-passing range limits coordination between topologically distant regions, while autoregressive rollouts tend to accumulate prediction errors. Transformer-based dynamics models capture long-range interactions through global attention, but often operate without explicit material connectivity and must learn local topological

Read original source ↗ Open in workspace

recordType

paper

region

Global