Spatial-Frequency Gated Swin Transformer for Cross-Sensor Remote Sensing Super-Resolution
Remote sensing single-image super-resolution aims to generate high-resolution imagery from low-resolution observations while preserving fine structures such as roads, building boundaries, field edges, and land-cover transitions. Swin Transformer-based models, including Swin2SR, provide strong spatial context modeling through shifted-window self-attention, but their feed-forward networks remain generic channelmixing modules that do not explicitly distinguish low-frequency structure from residual details. We propose SFG-SwinSR, which replaces the standard Swin2SR feed-forward network with a lightweight SpatialFrequency Gated Feed-Forward Network. The module estimates a smoothed feature comp...
| Authors | Md Aminur Hossain, Ayush V. Patel, Sanjay K. Singh et al. |
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| Primary category | cs.CV |
| Published | 10 May 2026 |
| Last updated at source | 29 August 2026 |
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