BrushGaussian: Brushstroke-Based Stylization for 3D Gaussian Splatting

We present a method for enhancing 3D Gaussian Splatting primitives with brushstroke-aware stylization. Previous approaches to 3D style transfer are typically limited to color or texture modifications, lacking an understanding of artistic shape deformation. In contrast, we focus on individual 3D Gaussian primitives, exploring their potential to enable style transfer that incorporates both color- and brushstroke-inspired local geometric stylization. Specifically, we introduce additional texture features for each Gaussian primitive and apply a texture mapping technique to achieve brushstroke-like geometric effects in a rendered scene. Furthermore, we propose an unsupervised clustering algorithm to efficiently prune redundant Gaussians, ensuring that our method seamlessly integrates with existing 3D Gaussian Splatting pipelines. Extensive evaluations demonstrate that our approach outperforms existing baselines by producing brushstroke-aware artistic renderings with richer geometric expressiveness and enhanced visual appeal.

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Publication Details

Journal
Applied Sciences
Published
2025-06-18
DOI
https://doi.org/10.3390/app15126881
Citations
1
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
3.54
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article

BrushGaussian: Brushstroke-Based Stylization for 3D Gaussian Splatting

Itaru Kitahara, Zhenhua Xiang, Chun Xie
1 citations
Applied Sciences
Computer Graphics and Visualization Techniques
3.54
article

BrushGaussian: Brushstroke-Based Stylization for 3D Gaussian Splatting

Itaru Kitahara, Zhenhua Xiang, Chun Xie
article en
1 citations

Abstract

We present a method for enhancing 3D Gaussian Splatting primitives with brushstroke-aware stylization. Previous approaches to 3D style transfer are typically limited to color or texture modifications, lacking an understanding of artistic shape deformation. In contrast, we focus on individual 3D Gaussian primitives, exploring their potential to enable style transfer that incorporates both color- and brushstroke-inspired local geometric stylization. Specifically, we introduce additional texture features for each Gaussian primitive and apply a texture mapping technique to achieve brushstroke-like geometric effects in a rendered scene. Furthermore, we propose an unsupervised clustering algorithm to efficiently prune redundant Gaussians, ensuring that our method seamlessly integrates with existing 3D Gaussian Splatting pipelines. Extensive evaluations demonstrate that our approach outperforms existing baselines by producing brushstroke-aware artistic renderings with richer geometric expressiveness and enhanced visual appeal.

Applied SciencesVol. 15(12)
University of Tsukuba (JP)
Sustainable cities and communities
Openalex Percentile: Top 9%
Computer Graphics and Visualization Techniques
3.54
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BrushGaussian: Brushstroke-Based Stylization for 3D Gaussian Splatting — Itaru Kitahara, Zhenhua Xiang, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS