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DanceOPD reveals a novel approach to harmonizing conflicting image generation capabilities, enhancing T2I and editing performance simultaneously.
MLLMs struggle to quantitatively reason about spatial relationships in Earth imagery, despite advances in other spatial reasoning tasks, highlighting a critical gap for applications requiring precise georeferencing.
