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.