DPG-CD uses an estimated depth prior from imagery, gated fusion, and multi-stage cross-modal architecture to jointly predict 2D semantic and 3D height changes, outperforming prior methods on Hi-BCD, 3DCD, and NYC-MMCD datasets.
Evolving cityscape: A dataset for building footprints and heights from satellite imagery in china.Scientific Data, 12(1):1678, 2025
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DPG-CD: Depth-Prior-Guided Cross-Modal Joint 2D-3D Change Detection
DPG-CD uses an estimated depth prior from imagery, gated fusion, and multi-stage cross-modal architecture to jointly predict 2D semantic and 3D height changes, outperforming prior methods on Hi-BCD, 3DCD, and NYC-MMCD datasets.