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LucidNFT: LR-Anchored Multi-Reward Preference Optimization for Flow-Based Real-World Super-Resolution

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Fei, Song, Ye, Tian, Chen, Sixiang, Xing, Zhaohu, Lai, Jianyu, Zhu, Lei
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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