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English(EN) MultiShadow: Multi-Object Shadow Generation for Image Compositing via Diffusion Model

扩散模型MultiShadow为多个对象生成逼真阴影

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种名为MultiShadow的新型扩散模型，旨在为单个图像合成中的多个对象生成逼真的阴影。该方法利用预训练的文本到图像扩散模型，结合图像特征进行空间引导，并使用文本提示来编码对象位置。注意力对齐损失进一步优化了阴影的放置。该方法在单对象和多对象阴影生成场景中均展现了最先进的性能，弥补了当前合成技术的不足。 AI

影响 通过为多个对象生成更准确的阴影，增强了图像合成的真实感。

排序理由 这是一篇详细介绍图像合成新方法的学术论文。[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 →

扩散模型MultiShadow为多个对象生成逼真阴影

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这是一篇详细介绍图像合成新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Waqas Ahmed, Dean Diepeveen, Ferdous Sohel ·

    MultiShadow：通过扩散模型实现图像合成的多目标阴影生成

    arXiv:2603.02743v4 Announce Type: replace Abstract: Realistic shadow generation is crucial for achieving seamless image compositing, yet existing methods primarily focus on single-object insertion and often fail to generalize when multiple foreground objects are composited into a…

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