AI RESEARCH
Robust Self-Supervised Cross-Modal Super-Resolution against Real-World Misaligned Observations
arXiv CS.CV
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ArXi:2602.18822v2 Announce Type: replace Cross-modal super-resolution (SR) on real-world misaligned data is challenging, as only unlabeled low-resolution (LR) source and high-resolution (HR) guide images with complex spatial misalignment are available. Previous methods either rely on fully simulated