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Zikang Zhan

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Preprint Aug 2026

Supervising the Path to Fine Scales: GalerkinFlow for Scientific-Field and Image Super-Resolution

Most super-resolution models learn from paired data by supervising only the final high-resolution output. This provides little control over how the prediction should evolve between the downsampled observation and its fine target. We introduce GalerkinFlow, an equation-agnostic framework that turns each coarse--fine pai...

Zikang Zhan · 0 citations

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