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English(EN) Physics Guided Diffusion Model Based Exposure Interpolation for High Dynamic Range Imaging

新型物理引导扩散模型解决HDR成像伪影问题

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新颖的物理引导扩散模型，用于解决高动态范围（HDR）成像中的重影伪影，特别是针对由大曝光比图像融合引起的亮度顺序反转（BOR）问题。所提出的算法使用物理驱动组件对初始图像进行插值，然后通过分析生成模型并减少皮尔逊相关性变化的扩散模型进行精炼。与现有的基于神经网络的方法相比，该方法旨在生成更多的高频信息，实验结果验证了其有效性。 AI

影响 这项研究通过减少常见的伪影，有望提高HDR摄影和摄像的图像质量。

排序理由 该集群包含一篇详细介绍新图像处理算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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新型物理引导扩散模型解决HDR成像伪影问题

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该集群包含一篇详细介绍新图像处理算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zhengguo Li, Chaobing Zheng ·

    基于物理引导的扩散模型曝光插值用于高动态范围成像

    arXiv:2610.37135v1 Announce Type: new Abstract: Ghosting artifacts are an open problem for popular multi-shot based high dynamic range (HDR) imaging. An effective solution is to capture two large-exposure-ratio (LER) standard dynamic range (SDR) images simultaneously via a single…

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