Optimization-Free Style Transfer for 3D Gaussian Splats

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Sablon, Raphael Du, Hart, David
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917101256572928
author Sablon, Raphael Du
Hart, David
author_facet Sablon, Raphael Du
Hart, David
contents 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, allowing for direct stylization on a .ply or .splat file without requiring the original camera views. 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 also allows for fast stylization of splats with no additional training, achieving speeds under 2 minutes even on CPU-based consumer hardware. We demonstrate the quality results this approach achieves and compare to other 3D Gaussian splat style transfer methods. Code is publicly available at https://github.com/davidmhart/FastSplatStyler.
format Preprint
id arxiv_https___arxiv_org_abs_2508_05813
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimization-Free Style Transfer for 3D Gaussian Splats
Sablon, Raphael Du
Hart, David
Computer Vision and Pattern Recognition
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, allowing for direct stylization on a .ply or .splat file without requiring the original camera views. 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 also allows for fast stylization of splats with no additional training, achieving speeds under 2 minutes even on CPU-based consumer hardware. We demonstrate the quality results this approach achieves and compare to other 3D Gaussian splat style transfer methods. Code is publicly available at https://github.com/davidmhart/FastSplatStyler.
title Optimization-Free Style Transfer for 3D Gaussian Splats
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2508.05813