Iterative Token Refinement for Remote Sensing Image Super-Resolution

Recent advances in remote sensing image super-resolution (RSISR) have leveraged transformer architectures to achieve state-of-the-art results. Nevertheless, most existing transformer-based approaches treat the token sequence as a unified global context, which often fail to preserve critical local structures and cross-region semantics. To address these issues, we propose an iterative transformer framework that progressively refines visual tokens with contextual awareness. Specifically, we initial