Geometry Transfer for Stylizing Radiance Fields
Abstract
Shape and geometric patterns are essential in defining stylistic identity. However current 3D style transfer methods predominantly focus on transferring colors and textures often overlooking geometric aspects. In this paper we introduce Geometry Transfer a novel method that leverages geometric deformation for 3D style transfer. This technique employs depth maps to extract a style guide subsequently applied to stylize the geometry of radiance fields. Moreover we propose new techniques that utilize geometric cues from the 3D scene thereby enhancing aesthetic expressiveness and more accurately reflecting intended styles. Our extensive experiments show that Geometry Transfer enables a broader and more expressive range of stylizations thereby significantly expanding the scope of 3D style transfer.
Cite
Text
Jung et al. "Geometry Transfer for Stylizing Radiance Fields." Conference on Computer Vision and Pattern Recognition, 2024. doi:10.1109/CVPR52733.2024.00818Markdown
[Jung et al. "Geometry Transfer for Stylizing Radiance Fields." Conference on Computer Vision and Pattern Recognition, 2024.](https://mlanthology.org/cvpr/2024/jung2024cvpr-geometry/) doi:10.1109/CVPR52733.2024.00818BibTeX
@inproceedings{jung2024cvpr-geometry,
title = {{Geometry Transfer for Stylizing Radiance Fields}},
author = {Jung, Hyunyoung and Nam, Seonghyeon and Sarafianos, Nikolaos and Yoo, Sungjoo and Sorkine-Hornung, Alexander and Ranjan, Rakesh},
booktitle = {Conference on Computer Vision and Pattern Recognition},
year = {2024},
pages = {8565-8575},
doi = {10.1109/CVPR52733.2024.00818},
url = {https://mlanthology.org/cvpr/2024/jung2024cvpr-geometry/}
}