TIP-Editor：一种同时遵循文本提示和图像提示的精确3D编辑器
TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts
AI总结：
提出3D场景编辑框架TIP-Editor，结合文本与图像提示及3D边界框，利用逐步2D个性化策略与3D高斯泼溅实现精准局部编辑，在质量和提示对齐上优于基线。
摘要：
文本驱动的3D场景编辑因其便捷性和用户友好性而受到广泛关注。然而，由于文本描述的固有局限性，现有方法仍缺乏对编辑结果指定外观和位置的准确控制。为此，我们提出了一种3D场景编辑框架TIP-Editor，它同时接受文本和图像提示以及3D边界框来指定编辑区域。借助图像提示，用户可以方便地指定目标内容的详细外观/风格，以补充文本描述，从而实现对外观的准确控制。具体而言，TIP-Editor采用逐步2D个性化策略，以更好地学习现有场景和参考图像的表示，其中提出了一种定位损失来鼓励按照边界框的指定正确放置对象。此外，TIP-Editor利用显式且灵活的3D高斯泼溅（3D Gaussian splatting）作为3D表示，以促进局部编辑同时保持背景不变。大量实验表明，TIP-Editor在指定的边界框区域内按照文本和图像提示进行准确编辑，在编辑质量和提示对齐方面，定性和定量地均始终优于基线方法。
英文摘要：
Text-driven 3D scene editing has gained significant attention owing to its convenience and user-friendliness. However, existing methods still lack accurate control of the specified appearance and location of the editing result due to the inherent limitations of the text description. To this end, we propose a 3D scene editing framework, TIPEditor, that accepts both text and image prompts and a 3D bounding box to specify the editing region. With the image prompt, users can conveniently specify the detailed appearance/style of the target content in complement to the text description, enabling accurate control of the appearance. Specifically, TIP-Editor employs a stepwise 2D personalization strategy to better learn the representation of the existing scene and the reference image, in which a localization loss is proposed to encourage correct object placement as specified by the bounding box. Additionally, TIPEditor utilizes explicit and flexible 3D Gaussian splatting as the 3D representation to facilitate local editing while keeping the background unchanged. Extensive experiments have demonstrated that TIP-Editor conducts accurate editing following the text and image prompts in the specified bounding box region, consistently outperforming the baselines in editing quality, and the alignment to the prompts, qualitatively and quantitatively.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
