GeoCR: Learning a Generalist Cloud Removal Prior from Heterogeneous Observations

GeoCR unifies RGB and multispectral cloud removal within a single flow transformer architecture by using compact input/output stems to interface with a frozen pretrained RGB autoencoder. The model handles single or multi-temporal observations and optional SAR guidance by jointly modeling clean RGB and non-RGB latents across heterogeneous sensing domains.