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 size is 3115x2078 and output sizes are 3115x2078, videos sizes are decreased to 1920x1280. Go to video size 3115x2078

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},
}