- 
	
	
	SVGDreamer: Text Guided SVG Generation with Diffusion ModelPaper β’ 2312.16476 β’ Published β’ 2
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	DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion ModelsPaper β’ 2306.14685 β’ Published β’ 2
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	VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion ModelsPaper β’ 2211.11319 β’ Published β’ 6
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	Word-As-Image for Semantic TypographyPaper β’ 2303.01818 β’ Published
AI & ML interests
SVG Differentiable Rendering: Generating vector graphics using neural networks.
πHi! Welcome to π€Pytorch-SVGRender π
 
π About Us
Pytorch-SVGRender is an open-source initiative dedicated to differentiable rendering for SVG generation. Our mission is to bridge the gap between raster and vector graphics using state-of-the-art machine learning techniques, empowering designers, researchers, and developers with powerful tools for image vectorization, text-to-SVG synthesis, and SVG editing.
π₯ What's New?
- [03/2024] π We officially launched our organization!
- [12/2023] π Pytorch-SVGRender V1.0 is now open-source!
π Useful Links
π Project Page: Pytorch-SVGRender 
π Code Repository: Github 
π Documentation: Read the Docs 
π€ HuggingFace Hub: SVGRender
π Table of Contents
1. Image Vectorization Methods
Convert raster images into editable vector graphics.
2. Text-to-SVG Synthesis
Generate vector graphics directly from text prompts.
π How to Contribute?
We welcome contributions from the community! You can help by:
πΉ Reporting Issues β Found a bug? Let us know in the GitHub Issues. πΉ Submitting Pull Requests β Have an improvement? Open a PR! πΉ Joining Discussions β Share ideas in the GitHub Discussions. πΉ Spreading the Word β Star β our repo and share it with your friends!
π Want to get started? Check out our Contribution Guidelines.
π Join the Community!
Weβre always looking for passionate people to help improve Pytorch-SVGRender. Whether you're an AI researcher, developer, designer, or SVG enthusiastβweβd love to have you on board!
π Fun Fact
We take our SVGs as seriously as our coffee β. Some of us start the day with a perfectly vectorized latte art! π
π License
This project is open-source under the Mozilla Public License 2.0.
π Transform raster images into vector magic!**
Give us a β on GitHub if you like our work! π
- 
	
	
	SVGDreamer: Text Guided SVG Generation with Diffusion ModelPaper β’ 2312.16476 β’ Published β’ 2
- 
	
	
	DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion ModelsPaper β’ 2306.14685 β’ Published β’ 2
- 
	
	
	Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language ModelsPaper β’ 2311.15543 β’ Published
- 
	
	
	StarVector: Generating Scalable Vector Graphics Code from ImagesPaper β’ 2312.11556 β’ Published β’ 36
- 
	
	
	SVGDreamer: Text Guided SVG Generation with Diffusion ModelPaper β’ 2312.16476 β’ Published β’ 2
- 
	
	
	DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion ModelsPaper β’ 2306.14685 β’ Published β’ 2
- 
	
	
	VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion ModelsPaper β’ 2211.11319 β’ Published β’ 6
- 
	
	
	Word-As-Image for Semantic TypographyPaper β’ 2303.01818 β’ Published
- 
	
	
	SVGDreamer: Text Guided SVG Generation with Diffusion ModelPaper β’ 2312.16476 β’ Published β’ 2
- 
	
	
	DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion ModelsPaper β’ 2306.14685 β’ Published β’ 2
- 
	
	
	Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language ModelsPaper β’ 2311.15543 β’ Published
- 
	
	
	StarVector: Generating Scalable Vector Graphics Code from ImagesPaper β’ 2312.11556 β’ Published β’ 36
