AI RESEARCH
TOC-SR: Task-Optimal Compact diffusion for Image Super Resolution
arXiv CS.CV
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ArXi:2605.02767v1 Announce Type: new Diffusion models have recently nstrated strong performance for image restoration tasks, including super-resolution. However, their large model size and iterative sampling procedures make them computationally expensive for practical deployment. In this work, we present TOC-SR, a framework for building efficient one-step super-resolution models by first discovering a compact diffusion backbone.