casyssong/RefSR-18K
RefSR-18K An LR-Conditioned Preference Dataset for Super-Resolution Dataset Card RefSR-18K is the first large-scale LR-conditioned preference dataset for super-resolution, introduced in "RefReward-SR: LR-Conditioned Reward Modeling for Preference-Aligned Super-Resolution". Each group provides pairwise human rankings based on LR–HR consistency and HR naturalness, rather than similarity to a ground-truth image. The reward model trained on this dataset is released… See the full description on the dataset page: https://huggingface.co/datasets/casyssong/RefSR-18K.
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