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English(EN) Reviving Ancient Paintings via Poem: A Colorization Framework for Aligning Cultural Semantics

PoemColor框架通过诗歌语义复兴古画

研究人员开发了PoemColor,一个新颖的框架,旨在通过将诗歌文化语义与视觉修复相结合来恢复古画的原始色彩。该方法解决了着色中的历史模糊性和现代语义偏差的挑战。PoemColor利用诗意绘画投影仪将诗歌语境转换为古典色彩条件,并采用结构感知语义注意力来控制诗歌色彩语义向扩散模型的注入。该框架使用混合数据集进行评估,并在提供历史真实且语义丰富的着色方面表现出卓越的性能。 AI

影响 这项研究可能导致更准确、更具文化敏感性的人工智能驱动的历史艺术修复。

排序理由 该项目是一篇学术论文,详细介绍了一种新的图像着色框架。[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 →

PoemColor框架通过诗歌语义复兴古画

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该项目是一篇学术论文,详细介绍了一种新的图像着色框架。[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) · Junming Gao, Biao Zhu, Xiaosong Wang, Tan Tang ·

    诗歌复原古画:一种对齐文化语义的着色框架

    arXiv:2607.17638v1 Announce Type: new Abstract: The irreversible fading of ancient paintings disrupts the "congruence between poems and paintings", a core aesthetic principle where visual imagery harmonizes with literary inscriptions. Although diffusion models provide strong gene…