  The letter investigates the utility of text-to-image inpainting models for
satellite image data. Two technical challenges of injecting structural guiding
signals into the generative process as well as translating the inpainted RGB
pixels to a wider set of MSI bands are addressed by introducing a novel
inpainting framework based on StableDiffusion and ControlNet as well as a novel
method for RGB-to-MSI translation. The results on a wider set of data suggest
that the inpainting synthesized via StableDiffusion suffers from undesired
artifacts and that a simple alternative of self-supervised internal inpainting
achieves a higher quality of synthesis.
