AI RESEARCH
Efficient One-Step Diffusion Restoration Model with Compact Token Compression and Linear Attention
arXiv CS.CV
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ArXi:2605.23451v1 Announce Type: new Real-world image super-resolution aims to recover high-quality images from complex and unknown real-world degradations. However, existing generative Real-ISR methods largely inherit the dense latent representations and quadratic-cost global modeling paradigm developed for high-resolution image synthesis, causing computation, memory usage, and inference latency to scale unfavorably with resolution and thus limiting practical deployment.