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<caption>Cosine similarity between LR-HR image pairs under correct pairing and cross-bench swapped pairing. LucidConsistency improves alignment on correctly paired data while maintaining low similarity under mismatched pairing.</caption>
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<spanclass="table-number">Table 2:</span> Cosine similarity between LR-HR image pairs under correct pairing and cross-bench swapped pairing. LucidConsistency improves alignment on correctly paired data while maintaining low similarity under mismatched pairing.
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<caption>Comparison of representative real-world datasets used in Real-ISR. Existing datasets are mainly designed for benchmarking and contain limited samples, while LucidLR provides large-scale real-world degradations suitable for preference-optimization-based training.</caption>
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<spanclass="table-number">Table 1:</span> Comparison of representative real-world datasets used in Real-ISR. Existing datasets are mainly designed for benchmarking and contain limited samples, while LucidLR provides large-scale real-world degradations suitable for preference-optimization-based training.
<p>For questions or collaboration, please contact <strong>sfei285@connect.hkust-gz.edu.cn</strong>, <strong>tye610@connect.hkust-gz.edu.cn</strong>, or <strong>leizhu@hkust-gz.edu.cn</strong>.</p>
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