RSEdit: Text-Guided Image Editing for Remote Sensing

arXiv:2603.13708v2 Announce Type: replace Abstract: In this paper, we explore text-guided image editing in the remote sensing domain using generative modeling. We propose rsedit, a collection of models from U-Net to DiT with various configurations. Specifically, we present the first comprehensive study of conditioning strategies for building image editing models from off-the-shelf text-to-image ones. Our experiments show that rsedit achieves the best instruction-faithful edits while preserving geospatial structure. We release the code at rl{https://github.com/Bili-Sakura/RSEdit-Preview} and checkpoints at rl{https://huggingface.co/collections/BiliSakura/rsedit}.

Source: arXiv cs.CV | 2026-05-19