EFDiff conditions a diffusion model with Prithvi-EO-2.0 geospatial embeddings via cross-attention to achieve 32x LST super-resolution, outperforming baselines on a global Landsat dataset.
Because extreme32×super-resolution is highly ill- posed, we report both classes of metrics to capture the perception–distortion trade-off [2]
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When Earth Foundation Models Meet Diffusion: An Application to Land Surface Temperature Super-Resolution
EFDiff conditions a diffusion model with Prithvi-EO-2.0 geospatial embeddings via cross-attention to achieve 32x LST super-resolution, outperforming baselines on a global Landsat dataset.