AI RESEARCH
Physics-Driven 3D Gaussian Rendering for Zero-Shot MRI Super-Resolution
arXiv CS.CV
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ArXi:2603.09621v1 Announce Type: new High-resolution Magnetic Resonance Imaging (MRI) is vital for clinical diagnosis but limited by long acquisition times and motion artifacts. Super-resolution (SR) reconstructs low-resolution scans into high-resolution images, yet existing methods are mutually constrained: paired-data methods achieve efficiency only by relying on costly aligned datasets, while implicit neural representation approaches avoid such data needs at the expense of heavy computation.