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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.
| Date | Stars |
|---|---|
| 2026-07-31 | 491 |
| 2026-08-01 | 491 |
| 2026-08-02 | 491 |
| 2026-08-06 | 491 |
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<h1 id="ptsvg" align="center">Pytorch-SVGRender</h1>
<p align="center">
<a href="https://www.python.org/"><img src="https://img.shields.io/badge/python-3.10-or?logo=python" alt="pyhton"></a>
<a href="http://mozilla.org/MPL/2.0/"><img src="https://img.shields.io/badge/license-MPL2.0-orange" alt="license"></a>
<a href="https://ximinng.github.io/PyTorch-SVGRender-project/"><img src="https://img.shields.io/badge/website-Gitpage-yellow" alt="website"></a>
<a href="https://pytorch-svgrender.readthedocs.io/en/latest/index.html"><img src="https://img.shields.io/badge/docs-readthedocs-purple" alt="docs"></a>
<a href="https://huggingface.co/SVGRender"><img src="https://img.shields.io/badge/Group-Join%20Us-FC819E" alt="group"></a>
</p>
<div align="center">
<img src="./assets/cover1.png" height="70%" width="auto" alt="Pytorch-SVGRender">
<p><strong>Pytorch-SVGRender: </strong>The go-to library for differentiable rendering methods for SVG generation.</p>
</div>
<p align="center">
<a href="#recent-updates">Updates</a> •
<a href="#table-of-contents">Table of Contents</a> •
<a href="#installation">Installation</a> •
<a href="#quickstart">Quickstart</a> •
<a href="#faq">FAQ</a> •
<a href="#todo">TODO</a> •
<a href="#contribution">Contribution</a> •
<a href="#acknowledgement">Acknowledgment</a> •
<a href="#citation">Citation</a> •
<a href="#licence">Licence</a>
</p>
<h2 align="center">🔥 Recent Updates</h2>
- [12/2023] 🔥 We open-sourced Pytorch-SVGRender V1.0.
<h2 align="center">💡 Table of Contents</h2>
<p align="right"><a href="#ptsvg"><sup>▴ Back to top</sup></a></p>
### 1. Image Vectorization
- DiffVG: Differentiable Vector Graphics Rasterization for Editing and Learning (`SIGGRAPH 2020`)
[[Project]](https://people.csail.mit.edu/tzumao/diffvg/) [[Paper]](https://cseweb.ucsd.edu/~tzli/diffvg/diffvg.pdf) [[Code]](https://github.com/BachiLi/diffvg)
DiffVG is a differentiable rasterizer for 2D vector graphics. **This repository is heavily based on DiffVG.**
- LIVE: Towards Layer-wise Image Vectorization (`CVPR 2022`)
[[Project]](https://ma-xu.github.io/LIVE/) [[Paper]](https://ma-xu.github.io/LIVE/index_files/CVPR22_LIVE_main.pdf) [[Code]](https://github.com/Picsart-AI-Research/LIVE-Layerwise-Image-Vectorization)
- CLIPasso: Semantically-Aware Object Sketching (`SIGGRAPH 2022`)
[[Project]](https://clipasso.github.io/clipasso/) [[Paper]](https://arxiv.org/abs/2202.05822) [[Code]](https://github.com/yael-vinker/CLIPasso)
- CLIPascene: Scene Sketching with Different Types and Levels of Abstraction (`ICCV 2023`)
[[Project]](https://clipascene.github.io/CLIPascene/) [[Paper]](https://arxiv.org/abs/2211.17256) [[Code]](https://github.com/yael-vinker/SceneSketch)
### 2. Text-to-SVG Synthesis
- CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders (`NIPS 2022`)
[[Paper]](https://arxiv.org/abs/2106.14843) [[Code]](https://github.com/kvfrans/clipdraw)
- StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis
[[Live]](https://slideslive.com/38970834/styleclipdraw-coupling-content-and-style-in-texttodrawing-synthesis?ref=account-folder-92044-folders) [[Paper]](https://arxiv.org/abs/2202.12362) [[Code]](https://github.com/pschaldenbrand/StyleCLIPDraw)
- CLIPFont: Texture Guided Vector WordArt Generation (`BMVC 2022`)
[[Paper]](https://bmvc2022.mpi-inf.mpg.de/0543.pdf) [[Code]](https://github.com/songyiren98/CLIPFont)
- VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models (`CVPR 2023`)
[[Project]](https://vectorfusion.github.io/) [[Paper]](https://openaccess.thecvf.com/content/CVPR2023/papers/Jain_VectorFusion_Text-to-SVG_by_Abstracting_Pixel-Based_Diffusion_Models_CVPR_2023_paper.pdf)
- DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models (`NIPS 2023`)
[[Project]](https://ximinng.github.io/DiffSketcher-project/) [[Live]](https://neurips.cc/virtual/2023/poster/72425) [[Excerpt of 16,567 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:cac8c0dff2398261, topic:diffusion-models