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- Titel:
Transformer-Inspired Convolutional Network for Image Restoration
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Cui, Yuning; Liu, Mingyu; Ren, Wenqi; Shi, Boxing; Knoll, Alois C
- Stichworte:
- Image restoration; Degradation; Modeling; Transformers; Frequency; Modules (abstract algebra); Conferences; PSNR; Computers; Learning (artificial intelligence); Image restoration; convolutional network; frequency refinement; multi-scale learning; Transformer-inspired architecture; all-in-one image restoration; composite degradation image restoration; ultra-high-definition image restoration
- Zeitschriftentitel:
- IEEE Transactions on Circuits and Systems for Video Technology
- Jahr:
- 2026
- Volltext / DOI:
- doi:10.1109/tcsvt.2026.3710432
- Verlag / Institution:
- IEEE
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