Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes

Kotovenko, Dmytro; Wright, Matthias; Heimbrecht, Arthur und Ommer, Björn (2021): Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, 20-25 June 2021. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New York: IEEE. S. 12191-12200

Abstract

There have been many successful implementations of neural style transfer in recent years. In most of these works, the stylization process is confined to the pixel domain. How- ever, we argue that this representation is unnatural because paintings usually consist of brushstrokes rather than pixels. We propose a method to stylize images by optimizing parameterized brushstrokes instead of pixels and further introduce a simple differentiable rendering mechanism. Our approach significantly improves visual quality and enables additional control over the stylization process such as controlling the flow of brushstrokes through user input. We provide qualitative and quantitative evaluations that show the efficacy of the proposed parameterized representation.

• Dokumententyp: Konferenzbeitrag (Paper)
• Fakultät: Geschichts- und Kunstwissenschaften > Department Kunstwissenschaften > Kunstgeschichte
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik ; 700 Künste und Unterhaltung > 700 Künste
• Ort: New York
• Sprache: Englisch