AI RESEARCH
Adaptive Context Matters: Towards Provable Multi-Modality Guidance for Super-Resolution
arXiv CS.CV
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ArXi:2605.10470v1 Announce Type: new Super-resolution (SR) is a severely ill-posed problem with inherent ambiguity, as widely recognized in both empirical and theoretical studies. Although recent semantic-guided and multi-modal SR methods exploit large models or external priors to enhance semantic alignment, the fusion of heterogeneous modalities remains insufficiently understood in practice and theory. In this work, we provide the first theoretical modeling of multi-modal SR, revealing that prior methods are bottlenecked by sub-optimal modality utilization.