This paper introduces Geometry Transfer, a novel method that leverages depth maps as style guides to directly stylize the geometry of neural radiance fields, enabling more expressive and accurate 3D scene stylization.
A novel coarse-to-fine framework with hierarchical neural representation is proposed to efficiently generate high-quality stylized novel views from sparse input scenes.
A novel 3D neural style transfer framework based on 3D Gaussian Splatting (3DGS) representation that enables efficient and flexible stylization of 3D scenes with detailed style features and customizable perceptual control.