The radiance fields style transfer is an emerging field that has recently gained popularity as a means of 3D scene stylization, thanks to the outstanding performance of neural radiance fields in 3D reconstruction and view synthesis. We highlight a research gap in radiance fields style transfer, the lack of sufficient perceptual controllability, motivated by the existing concept in the 2D image style transfer. In this paper, we present ARF-Plus, a 3D neural style transfer framework offering manageable control over perceptual factors, to systematically explore the perceptual controllability in 3D scene stylization. Four distinct types of controls - color preservation control, (style pattern) scale control, spatial (selective stylization area) control, and depth enhancement control - are proposed and integrated into this framework. Results from real-world datasets, both quantitative and qualitative, show that the four types of controls in our ARF-Plus framework successfully accomplish their corresponding perceptual controls when stylizing 3D scenes. These techniques work well for individual style inputs as well as for the simultaneous application of multiple styles within a scene. This unlocks a realm of limitless possibilities, allowing customized modifications of stylization effects and flexible merging of the strengths of different styles, ultimately enabling the creation of novel and eye-catching stylistic effects on 3D scenes.

翻译：辐射场风格迁移是一个新兴领域，得益于神经辐射场在三维重建与视角合成中的卓越性能，该方向近期作为三维场景风格化手段备受关注。我们基于二维图像风格迁移中的现有概念，指出辐射场风格迁移研究中缺乏充分的感知可控性这一空白。本文提出ARF-Plus——一种具备感知因子可控管理能力的三维神经风格迁移框架，旨在系统探索三维场景风格化中的感知可控性。该框架集成四种不同类型的控制机制：色彩保持控制、（风格图案）尺度控制、空间（可选择风格化区域）控制以及深度增强控制。真实世界数据集的定性与定量结果表明，ARF-Plus框架中的四类控制机制在三维场景风格化过程中均成功实现了对应的感知控制效果。这些技术不仅适用于单一风格输入，还能在同一场景中同时应用多种风格。这开启了无限可能性，支持对风格化效果进行定制化修改，灵活融合不同风格的优势，最终实现三维场景中新颖吸睛风格化效果的创作。