FMG-Pan is a model-guided instance-wise adaptation framework for real-world pansharpening that adds physical fidelity constraints to deliver state-of-the-art fusion quality with training and inference completed in seconds on single image pairs.
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Fast Model-guided Instance-wise Adaptation Framework for Real-world Pansharpening with Fidelity Constraints
FMG-Pan is a model-guided instance-wise adaptation framework for real-world pansharpening that adds physical fidelity constraints to deliver state-of-the-art fusion quality with training and inference completed in seconds on single image pairs.