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English(EN) Dior: Drawing the Light of Image via Material-Decoupled Illumination Representation

新的Dior方法通过Lumi Map提供精确的图像重照明

研究人员开发了一种新颖的图像重照明方法Dior,该方法利用了一种称为Lumi Map的解耦材质光照表示。该方法在用户绘制的涂鸦与最终的光照效果之间建立了直接联系,从而增强了对强度、色度和空间分布的控制。该系统使用合成数据进行训练,并使用真实图像对进行进一步优化,以提高其泛化能力。Dior-Light是该方法的一种实现,在重照明野外图像方面表现出优于现有技术的性能。 AI

影响 增强专业和创意应用中图像编辑工具的控制力和准确性。

排序理由 这是一篇描述新图像重照明方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的Dior方法通过Lumi Map提供精确的图像重照明

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这是一篇描述新图像重照明方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Xuanpu Zhang, Xuesong Niu, Haoxiang Cao, Ruidong Chen, Jianhao Zeng, Changqian Yu ·

    Dior:通过材质解耦光照表示绘制图像之光

    arXiv:2608.29925v1 Announce Type: new Abstract: Controllable image relighting is an important problem in image editing, and hand-drawn scribbles provide an intuitive interface for specifying the desired illumination. However, existing methods do not establish a consistent and eff…