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English(EN) A Bridge from Paste to Place: Physics-Guided One-Step Image Composition via Object-Scene Interaction

新的物理引导模型简化了图像合成

研究人员推出 Paste2Place,这是一种新颖的一步图像合成模型,它集成了物理引导原理,可将粘贴的物体无缝融入场景。这种端到端的流式模型利用了反照率-阴影-残差分解和重构技术,以确保逼真的集成同时保留精细细节。为了便于训练和评估,开发了一个使用 Blender 进行渲染和标注的综合管线,生成了包含 86,273 个训练对的数据集和一个 1,500 个示例的基准。 AI

影响 这种新方法可以简化各种应用的逼真合成图像的创建。

排序理由 该集群描述了一篇详细介绍新颖图像合成方法的最新研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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新的物理引导模型简化了图像合成

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该集群描述了一篇详细介绍新颖图像合成方法的最新研究论文。[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) · Hongzhen Li, Youwei Pan, Yingfang Zhu, Sen Zhu, Fengjie Zhu, Leilei Cao ·

    从粘贴到放置的桥梁:通过物体-场景交互进行物理引导的一步图像合成

    arXiv:2611.09387v1 Announce Type: new Abstract: Realistic image composition must make a pasted object appear naturally present in a scene while preserving the fine details of both foreground and background. Reference-based insertion methods can change object pose and appearance, …