NeuralSVG: An Implicit Representation for Text-to-Vector Generation

NeuralSVG is a novel method for generating vector graphics from text prompts using implicit neural representations. By building on Vision-Language and diffusion models, NeuralSVG encodes graphics into a small MLP network allowing dynamic adjustments like color palette and aspect ratio while preserving a layered SVG structure. The approach optimizes for efficient, structured, and flexible outputs that prioritize practical usability in design fields and enable substantial control during the inference time.

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