SVGDreamer: Text Guided SVG Generation with Diffusion Model

arXiv:2312.16476v3 Announce Type: replace
Abstract: Recently, text-guided scalable vector graphics (SVGs) synthesis has shown promise in domains such as iconography and sketch. However, existing text-to-SVG generation methods lack editability and struggle with visual quality and result diversity. To address these limitations, we propose a novel text-guided vector graphics synthesis method called SVGDreamer. SVGDreamer incorporates a semantic-driven image vectorization (SIVE) process that enables the decomposition of synthesis into foreground objects and background, thereby enhancing editability. Specifically, the SIVE process introduce attention-based …

arxiv cs.ai cs.cv diffusion diffusion model svg text type