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Satellite-to-Street: Synthesizing Post-Disaster Views from Satellite Imagery via Generative Vision Models
In the immediate aftermath of natural disasters, rapid situational awareness is critical. Traditionally, satellite observations are widely used to estimate damage extent. However, they lack the ground-level perspective essential for characterizing specific structural failures and impacts. Meanwhile,
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