PyTorch-SVGRender
SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.
Generate vector graphics from text or images using neural networks, and edit existing SVG files.
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Free · no card · unsubscribe anytimeSVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.
PyTorch-SVGRender has 490 stars on GitHub. It has been forked 51 times. PyTorch-SVGRender is written mainly in Python. It has been in active development since 2023. PyTorch-SVGRender is available under the MPL-2.0 license. Its main topics are differentiable-rendering, diffusion, diffusion-models, img-to-svg.
What is PyTorch-SVGRender?
SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.
Is PyTorch-SVGRender open source?
PyTorch-SVGRender is an open-source project. It is released under the MPL-2.0 license.
Is PyTorch-SVGRender free?
Yes. PyTorch-SVGRender is free and open source — you can use, modify and self-host it. Its MPL-2.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does PyTorch-SVGRender use?
PyTorch-SVGRender is available under the MPL-2.0 license.
What language is PyTorch-SVGRender written in?
PyTorch-SVGRender is written mainly in Python.
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