Lightweight CNN–Transformer Hybrid Network for Efficient Face Super-Resolution
Face super-resolution (FSR) aims to reconstruct high-quality high-resolution face images from low-resolution inputs. Although CNN–Transformer hybrid models have shown promising performance by jointly modeling local textures and global dependencies, their large parameter sizes and high computational...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2026-06-01
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| Serier: | Applied Sciences |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2076-3417/16/12/6221 |
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