AI RESEARCH
Spatial-Frequency Gated Swin Transformer for Remote Sensing Single-Image Super-Resolution
arXiv CS.CV
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ArXi:2605.09687v1 Announce Type: new Remote Sensing (RS) single-image super-resolution aims to reconstruct high-resolution imagery from low-resolution observations while preserving fine spatial structures. Recent Swin Transformer-based models, including Swin2SR, provide strong spatial context modeling throughshifted-window self-attention, but their feed-forward networks remain generic channel-mixing modules and do not separate low-frequency structural content from high-frequency residual detail.