Neural Style Transfer for Computer Games

Eleftherios Ioannou, Steve Maddock
11/24/2023
cs.CV

No official code found. Best implementation: ioannouE/NSTforComputerGames (8 stars, last commit 2023-08-19).

Abstract

Neural Style Transfer (NST) research has been applied to images, videos, 3D meshes and radiance fields, but its application to 3D computer games remains relatively unexplored. Whilst image and video NST systems can be used as a post-processing effect for a computer game, this results in undesired artefacts and diminished post-processing effects. Here, we present an approach for injecting depth-aware NST as part of the 3D rendering pipeline. Qualitative and quantitative experiments are used to validate our in-game stylisation framework. We demonstrate temporally consistent results of artistically stylised game scenes, outperforming state-of-the-art image and video NST methods.

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Code Implementations(1)

ioannouE/NSTforComputerGamesCommunity66%

Neural Style Transfer for Computer Games (BMVC 2023)

80C#, PythonAug 18, 20233 years ago

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Cite this paper

@article{ioannou2023neural,
  title  = {Neural Style Transfer for Computer Games},
  author = {Eleftherios Ioannou and Steve Maddock},
  year   = {2023},
  eprint = {2311.14617},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.14617v1}
}

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