Interactive Geometry Editing of Neural Radiance Fields
This addresses the challenge of editing implicit 3D scenes for users in computer graphics and vision, though it appears incremental as it builds on existing NeRF frameworks.
The paper tackles the problem of enabling interactive geometry editing for neural radiance fields (NeRFs) without requiring explicit 3D geometry representations, achieving effective manipulation through operations like translation, rotation, and scaling using proxy cages.
In this paper, we propose a method that enables interactive geometry editing for neural radiance fields manipulation. We use two proxy cages(inner cage and outer cage) to edit a scene. The inner cage defines the operation target, and the outer cage defines the adjustment space. Various operations apply to the two cages. After cage selection, operations on the inner cage lead to the desired transformation of the inner cage and adjustment of the outer cage. Users can edit the scene with translation, rotation, scaling, or combinations. The operations on the corners and edges of the cage are also supported. Our method does not need any explicit 3D geometry representations. The interactive geometry editing applies directly to the implicit neural radiance fields. Extensive experimental results demonstrate the effectiveness of our approach.