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.
Diffusion models beat gans on image synthesis
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Introduces the MMTT dataset of 152k manipulated facial images with masks and text descriptions, plus the ForgeryTalker model that jointly outputs localization masks and explanatory text, reporting 59.3 CIDEr and 73.67 IoU.
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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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Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline
Introduces the MMTT dataset of 152k manipulated facial images with masks and text descriptions, plus the ForgeryTalker model that jointly outputs localization masks and explanatory text, reporting 59.3 CIDEr and 73.67 IoU.