WorldSR: Harnessing World Knowledge Search for Grounded Image Super-Resolution
Generative-prior-based super-resolution (SR) methods leverage implicit knowledge learned from large-scale models to enhance low-resolution inputs. However, such priors are inherently stochastic and optimized for diverse generation, conflicting with the deterministic, high-fidelity reconstruction required for SR. It is...
Jun-Yuan Deng, Xinyi Wu, Zhenyao Wu et al.
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