ChangeBridge introduces a drift-asynchronous diffusion bridge with composed initialization, pixel-wise drift maps, and drift-aware denoising to produce spatially and temporally coherent post-event remote sensing images.
Open-cd: A comprehensive toolbox for change detection
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UrbanCDNet, a custom Siamese CNN, raises F1 to 0.7511 and IoU to 0.6014 on a Korean urban change-detection benchmark, with largest gains on sparse-change and high-photometric-gap subsets.
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ChangeBridge: Spatiotemporal Image Generation with Multimodal Controls for Remote Sensing
ChangeBridge introduces a drift-asynchronous diffusion bridge with composed initialization, pixel-wise drift maps, and drift-aware denoising to produce spatially and temporally coherent post-event remote sensing images.
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UrbanCDNet: Appearance-Robust and Boundary-Aware Bitemporal Change Detection for Korean Urban Building Monitoring
UrbanCDNet, a custom Siamese CNN, raises F1 to 0.7511 and IoU to 0.6014 on a Korean urban change-detection benchmark, with largest gains on sparse-change and high-photometric-gap subsets.