AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SVG-BERT, a code-native encoder pretrained directly on SVG source code as representation infrastructure for structure-aware vector design workflows, consistently outperforms generic text encoders and provides information complementary to raster encoders, which remain stronger on strongly visual semantic tasks.
This work introduces text-guided vector object extraction, where the goal is to recover an editable sub-SVG corresponding to a natural-language query, and proposes a raster-grounded extraction method that localizes the queried object in the rendered image and maps the resulting region back to SVG primitives through ove...
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