StarVector reimagines vectorization as a code generation task, using a multimodal LLM architecture to process visual and textual inputs and produce SVG output. It offers models at 1B and 8B parameter scales (starvector-1b-im2svg, starvector-8b-im2svg) trained on the SVG-Stack dataset. The project includes the SVG-Bench benchmark for evaluating vector graphics generation quality.