Towards Real-time G-buffer-Guided Style Transfer in Computer Games

Artistic Neural Style Transfer (NST) has achieved remarkable success for images. However, this is not the case for dynamic 3D environments, such as computer games, where temporal coherence remains a challenge. Our paper presents an approach that uses the G-buffer information available in a game pipeline to generate robust and temporally consistent in-game artistic stylizations based on a style reference image. We use a synthetic dataset created from open-source computer games and demonstrate that the utilization of depth, normals, and edge information enables the stylization process to be more aware of the geometric and semantic aspects of a game scene. The proposed approach builds on previous work by injecting style transfer in the rendering pipeline, while also utilizing G-buffer information during inference time to improve upon the stability of the stylizations, offering a controllable way to stylize computer games in terms of temporal coherence and content preservation. Qualitative and quantitative evaluations of our in-game stylization network demonstrate significantly higher temporal stability compared to existing style transfer approaches when stylizing 3D computer games.