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

1 - Tel Aviv University 2 - MIT CSAIL NeuralSVG generates vector graphics from text prompts with ordered and editable shapes. Our method supports dynamic conditioning, such as background color, which facilitating the generation of multiple color palettes for a single learned representation. Abstract Vector graphics are essential in design, providing artists with a versatile medium for creating resolution-independent and highly editable visual content. Recent advancements in vision-language and d...

Read more at sagipolaczek.github.io

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