RefReward-SR: LR-Conditioned Reward Modeling for Preference-Aligned Super-Resolution
RefReward-SR: LR-Conditioned Reward Modeling for Preference-Aligned Super-Resolution explores A novel reward modeling framework for super-resolution that aligns with human perceptual preferences by using the low-resolution input as a semantic anchor, supported by a new large-scale dataset and code release.. Commercial viability score: 7/10 in Generative Image.
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