English(EN) Fast Image Super-Resolution via Consistency Rectified Flow

FlowSR 使用扩散模型实现单步图像超分辨率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-12 16:42

研究人员开发了 FlowSR，一种显著加速图像超分辨率过程的新方法，该方法利用了扩散模型。该方法将超分辨率重新构建为从低分辨率到高分辨率图像的校正流，从而能够一步完成高质量的图像生成。FlowSR 结合了高分辨率（HR）正则化以精确收敛到真实值，以及快慢调度策略以平衡效率和细粒度纹理细节。 AI

影响通过使用扩散模型一步完成高质量的图像生成，加速了图像超分辨率任务。

排序理由详细介绍图像超分辨率新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Pheng-Ann Heng · 2026-05-12 16:42

通过一致性校正流实现快速图像超分辨率

Diffusion models (DMs) have demonstrated remarkable success in real-world image super-resolution (SR), yet their reliance on time-consuming multi-step sampling largely hinders their practical applications. While recent efforts have introduced few- or single-step solutions, existi…