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English(EN) Interact3D: Compositional 3D Generation of Interactive Objects

Interact3D框架从单个图像生成具有碰撞感知的3D对象

研究人员开发了Interact3D,一个从单个图像生成可交互3D对象的新框架,即使在物体部分被遮挡的情况下也能实现。该系统首先使用生成式先验创建高质量的独立资产,然后采用一个两阶段的组合流程。该流程全局对齐主要对象,并使用基于可微分符号距离场(SDF)的优化来整合后续几何体,该优化会惩罚交叉。此外,一个视觉语言模型(VLM)会分析渲染结果,以指导迭代式自我纠正,从而实现更具碰撞感知、几何保真度和空间关系得到改善的组合。 AI

影响 这项研究可以改进复杂3D场景和交互式虚拟环境的创建。

排序理由 该集群包含一篇详细介绍新3D对象生成方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

Interact3D框架从单个图像生成具有碰撞感知的3D对象

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该集群包含一篇详细介绍新3D对象生成方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Hui Shan, Keyang Luo, Ming Li, Sizhe Zheng, Yanwei Fu, Zhen Chen, Xiangru Huang ·

    Interact3D:交互式对象的组合式3D生成

    arXiv:2603.16085v2 Announce Type: replace-cross Abstract: Recent breakthroughs in 3D generation have enabled the synthesis of high-fidelity individual assets. However, generating 3D compositional objects from single images--particularly under occlusions--remains challenging. Exis…