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StarVector: Generating Scalable Vector Graphics Code from Images and Text
StarVector
Robust Data Foundation Built upon SVG-Stack—our meticulously curated dataset of over 2 million SVG samples—and evaluated through SVG-Bench, StarVector benefits from diverse, high-quality training examples that ensure consistent performance across various graphic styles and complexities. Leading-Edge Performance StarVector significantly outperforms existing methods in both text-to-SVG and image-to-SVG generation tasks, demonstrating a substantial leap forward in vectorization quality while remaining fully accessible to the research community as an open-source resource. By combining the power of vision-language models with a comprehensive training dataset, we've created a system that can accurately translate images into high-quality SVG code.
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