ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization

Wenzhao Li, Tianhao Wu, Fangcheng Zhong, A. Cengiz Oztireli; Proceedings of the Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 2301-2310

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 need for sufficient perceptual controllability motivated by the existing concept in the 2D image style transfer. In this paper we present ARF-Plus a unique 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 - come with our proposed novel loss functions and strategies seamlessly integrated into this framework. 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.