VFIG: Vectorizing Complex Figures in SVG with Vision-Language Models

1. 1Utilize vision-language models to analyze rasterized images
2. 2Extract features and patterns from the images
3. 3Convert the extracted features into SVG format
4. 4Refine and edit the resulting vector graphics

Designers, software engineers, and data scientists on a team can benefit from VFIG as it automates the labor-intensive process of reconstructing vector graphics from rasterized images, improving design efficiency and scalability

💡 VFIG leverages vision-language models to vectorize complex figures in SVG format, reducing manual labor and improving design scalability

💡 Automate vector graphics reconstruction with VFIG!