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