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The University of Hong Kong (HKU)
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Balancing image quality and transmission reliability, this framework achieves significant performance gains for solar-powered generative AI on satellites.
Achieving state-of-the-art RFOV extraction, DragRoof reduces inference steps while enhancing accuracy in correcting geometric displacements in urban imagery.
By adapting AI model complexity to channel conditions, this work unlocks significant gains in edge inference throughput compared to fixed-complexity approaches.