AI RESEARCH
Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations
arXiv CS.AI
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ArXi:2605.09284v1 Announce Type: cross Mesh-based simulations provide high-fidelity solutions to partial differential equations (PDEs), but achieving such accuracy typically requires fine meshes, leading to substantial computational overhead. Super-resolution techniques aim to mitigate this cost by reconstructing high-resolution (HR), high-fidelity solutions from low-cost, low-resolution (LR) counterparts. However