BluNF：蓝图神经场
BluNF: Blueprint Neural Field
AI总结：
本文提出蓝图神经场（BluNF），利用先验语义和深度信息构建2D蓝图，支持直观的点击更改机制，实现对NeRF场景的精确3D操控与编辑。
摘要：
神经辐射场（NeRFs）彻底改变了场景新视角合成，提供了视觉逼真、精确且鲁棒的隐式重建。尽管近期的方法支持NeRF编辑，如物体移除、3D形状修改或材质属性操控，但在这些编辑之前进行手动标注使得过程繁琐。此外，传统的2D交互工具缺乏对3D空间的准确感知，阻碍了场景的精确操控与编辑。在本文中，我们引入了一种名为蓝图神经场（Blueprint Neural Field, BluNF）的新方法来解决这些编辑问题。BluNF提供了一个鲁棒且用户友好的2D蓝图，支持直观的场景编辑。通过利用隐式神经表示，BluNF利用先验的语义和深度信息构建场景蓝图。生成的蓝图允许对NeRF表示进行轻松的编辑与操控。我们通过直观的点击更改机制展示了BluNF的可编辑性，支持3D操控，如遮罩、外观修改和物体移除。我们的方法显著促进了视觉内容创作，为该领域的进一步研究铺平了道路。
英文摘要：
Neural Radiance Fields (NeRFs) have revolutionized scene novel view synthesis, offering visually realistic, precise, and robust implicit reconstructions. While recent approaches enable NeRF editing, such as object removal, 3D shape modification, or material property manipulation, the manual annotation prior to such edits makes the process tedious. Additionally, traditional 2D interaction tools lack an accurate sense of 3D space, preventing precise manipulation and editing of scenes. In this paper, we introduce a novel approach, called Blueprint Neural Field (BluNF), to address these editing issues. BluNF provides a robust and user-friendly 2D blueprint, enabling intuitive scene editing. By leveraging implicit neural representation, BluNF constructs a blueprint of a scene using prior semantic and depth information. The generated blueprint allows effortless editing and manipulation of NeRF representations. We demonstrate BluNF's editability through an intuitive click-and-change mechanism, enabling 3D manipulations, such as masking, appearance modification, and object removal. Our approach significantly contributes to visual content creation, paving the way for further research in this area.
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。
