Sýkora, DanielJamriška, OndrejTexler, OndrejFišer, JakubLukác, MikeLu, JingwanShechtman, EliAlliez, Pierre and Pellacini, Fabio2019-05-052019-05-0520191467-8659https://doi.org/10.1111/cgf.13621https://diglib.eg.org:443/handle/10.1111/cgf13621We present StyleBlit-an efficient example-based style transfer algorithm that can deliver high-quality stylized renderings in real-time on a single-core CPU. Our technique is especially suitable for style transfer applications that use local guidance - descriptive guiding channels containing large spatial variations. Local guidance encourages transfer of content from the source exemplar to the target image in a semantically meaningful way. Typical local guidance includes, e.g., normal values, texture coordinates or a displacement field. Contrary to previous style transfer techniques, our approach does not involve any computationally expensive optimization. We demonstrate that when local guidance is used, optimization-based techniques converge to solutions that can be well approximated by simple pixel-level operations. Inspired by this observation, we designed an algorithm that produces results visually similar to, if not better than, the state-of-the-art, and is several orders of magnitude faster. Our approach is suitable for scenarios with low computational budget such as games and mobile applications.Computing methodologiesNonphotorealistic renderingImage processing10.1111/cgf.1362183-91