SGSST: Scaling Gaussian Splatting Style Transfer

Bruno Galerne1,2, Jianling Wang1, Lara Raad3, Jean-Michel Morel4,
1Institut Denis Poisson, Université d'Orléans, Université de Tours, CNRS
2Institut Universitaire de France (IUF)
3Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República 4City University of Hong Kong
Project Paper arXiv Code Gallery of our results Comparison evaluations

Comparative evaluations with different scenes and style images
Garden Counter Kitchen Train Truck Fern Family Horse Trex


Input image sizes are 5187x3361 and output sizes are 5187x3361, videos sizes are 5187x3361. Go to video size 1920x1244

Related Links

This work has used 3D gaussian splatting technique and Scaling Painting Style Transfer method

BibTeX

@article{sgsst_arXiv2024,
  author    = {Bruno Galerne, Jianling Wang, Lara Raad, Jean-Michel Morel},
  title     = {SGSST: Scaling Gaussian Splatting Style Transfer},
  journal   = {arXiv},
  year      = {2024},
}