CLEAR框架利用潜在扩散模型推进单图像反射去除

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 05:00

研究人员推出了一种新颖的单图像反射去除框架CLEAR。该方法利用预训练的潜在扩散模型作为先验，并采用物理引导分离器进行单次传递预测层潜在表示。一项关键创新是混合特征对齐模块，它将高频内容与清晰透射对齐的颜色查询对齐，以在减少反射伪影的同时保留透射一致的纹理。CLEAR在多个基准测试中展示了最先进的性能，实现了最佳的平均保真度和感知指标。 AI

影响这项研究通过改进反射去除技术，推动了图像处理技术的发展，可能惠及摄影、计算机视觉和增强现实等领域的应用。

排序理由这是一篇详细介绍图像处理新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Tu Vo, Sheir A. Zaheer, Chan Y. Park · 2026-11-05 05:00

CLEAR：单图像反射去除的颜色纹理潜在对齐

arXiv:2611.05969v1 Announce Type: new Abstract: Single Image Reflection Removal (SIRR) seeks to recover the transmitted scene from a photograph captured through glass. Recent latent restoration methods use pretrained generative priors, but many recover detail by feeding high-freq…

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CLEAR：单图像反射去除的颜色纹理潜在对齐

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