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Unconstrained sampling offsets routinely degrade dynamic spatial modeling鈥攆reezing the kernel's center and filtering deformations with high-frequency edge priors consistently outperforms DCNv4 without adding architectural bloat.
GSPan redefines pansharpening by leveraging continuous Gaussian representations, enabling high-quality image fusion across arbitrary scales without retraining.
