A 9B-parameter flow-matching diffusion transformer trained from scratch on satellite data, conditioned on text and geospatial metadata, sets new state-of-the-art results on several Earth observation generation and translation tasks.
Filmy cloud removal on satellite imagery with multispectral conditional generative adversarial nets
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GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation
A 9B-parameter flow-matching diffusion transformer trained from scratch on satellite data, conditioned on text and geospatial metadata, sets new state-of-the-art results on several Earth observation generation and translation tasks.