arXiv Open Access 2026

Stroke Patches: Customizable Artistic Image Styling Using Regression

Ian Jaffray John Bronskill

Lihat Sumber

Abstrak

We present a novel, regression-based method for artistically styling images. Unlike recent neural style transfer or diffusion-based approaches, our method allows for explicit control over the stroke composition and level of detail in the rendered image through the use of an extensible set of stroke patches. The stroke patch sets are procedurally generated by small programs that control the shape, size, orientation, density, color, and noise level of the strokes in the individual patches. Once trained on a set of stroke patches, a U-Net based regression model can render any input image in a variety of distinct, evocative and customizable styles.

Topik & Kata Kunci

cs.GR

Penulis (2)

Ian Jaffray

John Bronskill

Format Sitasi

APA MLA BibTeX

Jaffray, I., Bronskill, J. (2026). Stroke Patches: Customizable Artistic Image Styling Using Regression. https://arxiv.org/abs/2601.03114

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2026
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓