Local feature enhancement transformer for image super-resolution
Abstract Transformers have demonstrated remarkable success in image super-resolution (SR) owing to their powerful long-range dependency modeling capability. Although increasing the sliding window size of transformer-based models (e.g., SwinIR) can improve SR performance, this weakens the learning of...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-07650-x |
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