GT2-GS: Geometry-aware Texture Transfer for Gaussian Splatting

Authors

  • Wenjie Liu School of Computer Science and Technology, East China Normal University, Shanghai, China
  • Zhongliang Liu School of Software Engineering, East China Normal University, Shanghai, China
  • Junwei Shu School of Computer Science and Technology, East China Normal University, Shanghai, China
  • Changbo Wang School of Data Science and Engineering, East China Normal University, Shanghai, China
  • Yang Li School of Computer Science and Technology, East China Normal University, Shanghai, China

DOI:

https://doi.org/10.1609/aaai.v40i9.37667

Abstract

Transferring 2D textures onto complex 3D scenes plays a vital role in enhancing the efficiency and controllability of 3D multimedia content creation. However, existing 3D style transfer methods primarily focus on transferring abstract artistic styles to 3D scenes. These methods often overlook the geometric information of the scene, which makes it challenging to achieve high-quality 3D texture transfer results. In this paper, we present GT2-GS, a geometry-aware texture transfer framework for gaussian splatting. First, we propose a geometry-aware texture transfer loss that enables view-consistent texture transfer by leveraging prior view-dependent feature information and texture features augmented with additional geometric parameters. Moreover, an adaptive fine-grained control module is proposed to address the degradation of scene information caused by low-granularity texture features. Finally, a geometry preservation branch is introduced. This branch refines the geometric parameters using additionally bound Gaussian color priors, thereby decoupling the optimization objectives of appearance and geometry. Extensive experiments demonstrate the effectiveness and controllability of our method. Through geometric awareness, our approach achieves texture transfer results that better align with human visual perception.

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Published

2026-03-14

How to Cite

Liu, W., Liu, Z., Shu, J., Wang, C., & Li, Y. (2026). GT2-GS: Geometry-aware Texture Transfer for Gaussian Splatting. Proceedings of the AAAI Conference on Artificial Intelligence, 40(9), 7296–7304. https://doi.org/10.1609/aaai.v40i9.37667

Issue

Section

AAAI Technical Track on Computer Vision VI