Progressive Upsampling Generative Adversarial Network with Collaborative Attention for Single-Image Super-Resolution
Single-image super-resolution (SISR) is an essential low-level visual task that aims to produce high-resolution images from low-resolution inputs. However, most existing SISR methods heavily rely on ideal degradation kernels and rarely consider the actual noise distribution. To tackle these issues,...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2026-02-01
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| シリーズ: | Journal of Imaging |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2313-433X/12/2/79 |
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