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洞察 - Cross-modal Priors in Image Super-Resolution
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
Ein innovatives Framework für die Bildsuperauflösung, das auf Cross-modal Priors basiert.
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
Diffusion-based methods in Image Super-Resolution benefit from cross-modal priors to generate high-fidelity and realistic images.
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
The author proposes the XPSR framework to address challenges in restoring semantic details in Image Super-Resolution by leveraging cross-modal priors from Multimodal Large Language Models (MLLMs) and introducing Semantic-Fusion Attention and Degradation-Free Constraint.
