AI RESEARCH
InstanceRSR: Real-World Super-Resolution via Instance-Aware Representation Alignment
arXiv CS.CV
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ArXi:2603.24240v1 Announce Type: new Existing real-world super-resolution (RSR) methods based on generative priors have achieved remarkable progress in producing high-quality and globally consistent reconstructions. However, they often struggle to recover fine-grained details of diverse object instances in complex real-world scenes. This limitation primarily arises because commonly adopted denoising losses (e.g., MSE) inherently favor global consistency while neglecting instance-level perception and restoration.