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English(EN) Direct 3D-Aware Object Insertion via Decomposed Visual Proxies

新的DIRECT框架支持姿态可控的3D对象插入

研究人员开发了DIRECT,一个用于3D感知对象插入图像的新框架。与先前将插入视为2D任务的方法不同,DIRECT允许对对象的3D姿态进行显式控制。该系统将插入条件分解为外观、几何和上下文引导,从而实现无缝集成,同时保留视觉质量和用户指定的姿态。该项目包括代码、模型和交互式演示的发布,供社区使用。 AI

影响 能够更精确、可控地将3D对象集成到图像中,推动了用于视觉内容创作的生成式AI能力。

排序理由 该集群包含一篇详细介绍新方法及其相关代码/模型发布的学术论文。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的DIRECT框架支持姿态可控的3D对象插入

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jingbo Gong, Yikai Wang, Yushi Lan, Yuhao Wan, Ziheng Ouyang, Rui Zhao, Ming-Ming Cheng, Qibin Hou, Chen Change Loy ·

    通过分解视觉代理实现直接的3D感知对象插入

    arXiv:2606.06601v1 Announce Type: cross Abstract: Object insertion aims to seamlessly composite a reference object into a specified region of a background image. Recent diffusion-based methods achieve high visual quality but formulate insertion as a simple 2D inpainting task, pro…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    通过分解视觉代理实现直接的3D感知对象插入

    DIFFUSION-BASED OBJECT INSERTION FRAMEWORK WITH POSE CONTROL THROUGH DECOMPOSED GUIDANCE COMPONENTS