DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation

Neural Information Processing Systems 

Despite recent success of rasterized image generation and content creation, little effort has been directed towards generation of vector graphics. Y et, vector images, often in the form of Scalable V ector Graphics [20] (SVG), have become a standard in digital graphics, publication-ready image assets, and web-animations. The main advantage over their rasterized counterpart is their scaling ability, making the same image file suitable for both tiny web-icons or billboard-scale graphics.

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