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.

翻译：神经辐射场（NeRF）通过提供视觉真实、精确且鲁棒的隐式重建，彻底改变了场景新视角合成技术。尽管现有方法支持NeRF编辑（如物体移除、三维形状修改或材质属性调整），但此类编辑前的繁琐手动标注严重制约了其可用性。此外，传统二维交互工具缺乏对三维空间的精确感知，难以实现场景的精细化操控与编辑。本文提出一种名为蓝图神经场（BluNF）的新方法来解决上述编辑难题。BluNF通过构建鲁棒且用户友好的二维蓝图，实现了直观的场景编辑。该方法利用隐式神经表示，结合先验语义与深度信息构建场景蓝图，所生成的蓝图可轻松编辑与操控NeRF表征。我们通过直观的“点击-修改”机制展示了BluNF的编辑能力，支持三维掩码标注、外观修改及物体移除等操作。本研究显著推动了视觉内容创作领域的发展，为后续研究奠定了重要基础。