Abstract
The task of style transfer for 3D Gaussian splats has been explored in many previous works, but these require reconstructing or fine-tuning the splat while incorporating style information or optimizing a feature extraction network on the splat representation. We propose a reconstruction- and optimization-free approach to stylizing 3D Gaussian splats. This is done by generating a graph structure across the implicit surface of the splat representation. A feed-forward, surface-based stylization method is then used and interpolated back to the individual splats in the scene. This allows for any style image and 3D Gaussian splat to be used without any additional training or optimization. This also allows for fast stylization of splats, achieving speeds under 2 minutes even on consumer-grade hardware. We demonstrate the quality results this approach achieves and compare to other 3D Gaussian splat style transfer methods. Code is publicly available at this https URL.
Abstract (translated)
在许多先前的工作中，已经探讨了将风格转换应用于3D高斯点云的任务，但这些方法通常需要重构或微调点云，并在此过程中结合样式信息或优化表示点云的特征提取网络。我们提出了一种无需重建和优化的方法来为3D高斯点云添加风格效果。这通过在点云表示的隐式表面上生成图结构来实现。然后使用一种基于表面的前馈风格化方法，将结果插值回场景中的各个点云。这种方法使得可以使用任何样式图像和3D高斯点云，而无需进行额外的训练或优化。此外，这还允许快速地对点云进行风格化处理，在消费级硬件上甚至可以在不到两分钟的时间内完成。我们展示了这种技术的质量结果，并将其与其他3D高斯点云风格转换方法进行了比较。该代码可在以下网址公开获取：[https URL]。
URL
https://arxiv.org/abs/2508.05813
