DiffAugment-xView2: Leveraging Stable Diffusion with LoRA and ControlNet for Synthetic Data Augmentation in Earthquake Building Damage Assessment
Automated building damage assessment from postearthquake satellite imagery is a critical yet severely data-limited task. The xView2 Mexico earthquake subset presents an extreme class imbalance: of 6,105 annotated buildings extracted from 121 scene pairs, 99.1% are no-damage, while the destroyed class contains only one...