AI RESEARCH
LPNSR: Prior-Enhanced Diffusion Image Super-Resolution via LR-Guided Noise Prediction
arXiv CS.AI
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ArXi:2603.21045v1 Announce Type: cross Diffusion-based image super-resolution (SR), which aims to reconstruct high-resolution (HR) images from corresponding low-resolution (LR) observations, faces a fundamental trade-off between inference efficiency and reconstruction quality. The state-of-the-art residual-shifting diffusion framework achieves efficient 4-step inference, yet suffers from severe performance degradation in compact sampling trajectories.