S2RF: Semantically Stylized Radiance Fields
This addresses the need for more control in 3D scene stylization for applications like graphics and visualization, but it appears incremental as it builds on existing radiance field methods.
The paper tackles the problem of transferring style from arbitrary images to objects in 3D scenes, achieving customizable and stylized scene images from arbitrary viewpoints with multi-view consistency.
We present our method for transferring style from any arbitrary image(s) to object(s) within a 3D scene. Our primary objective is to offer more control in 3D scene stylization, facilitating the creation of customizable and stylized scene images from arbitrary viewpoints. To achieve this, we propose a novel approach that incorporates nearest neighborhood-based loss, allowing for flexible 3D scene reconstruction while effectively capturing intricate style details and ensuring multi-view consistency.