Matusovic, MarkoParakkat, Amal DevEisemann, ElmarMyszkowski, KarolNiessner, Matthias2023-05-032023-05-0320231467-8659https://doi.org/10.1111/cgf.14743https://diglib.eg.org:443/handle/10.1111/cgf14743We introduce an approach for converting pixel art into high-quality vector images. While much progress has been made on automatic conversion, there is an inherent ambiguity in pixel art, which can lead to a mismatch with the artist's original intent. Further, there is room for incorporating aesthetic preferences during the conversion. In consequence, this work introduces an interactive framework to enable users to guide the conversion process towards high-quality vector illustrations. A key idea of the method is to cast the conversion process into a spring-system optimization that can be influenced by the user. Hereby, it is possible to resolve various ambiguities that cannot be handled by an automatic algorithm.Attribution 4.0 International LicenseCCS Concepts: Applied computing -> Fine arts; Computing methodologies -> Image manipulation; Shape modelingApplied computingFine artsComputing methodologiesImage manipulationShape modeling10.1111/cgf.1474351-6010 pages