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title: README
emoji: 🔥
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colorTo: pink
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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="80%" width="auto" alt="Pytorch-SVGRender">
<p><strong>Pytorch-SVGRender: </strong>The go-to library for differentiable rendering methods for SVG generation.</p>
</div>

<h2>Recent Updates</h2>

- [03/2024] 🔥 We set up the organization。
- [12/2023] 🔥 We open-sourced Pytorch-SVGRender V1.0.

<h2>Table of Contents</h2>

### 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)

- 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) [[Paper]](https://arxiv.org/abs/2306.14685) [[Code]](https://github.com/ximinng/DiffSketcher)

- Word-As-Image for Semantic Typography (`SIGGRAPH 2023`)

  [[Project]](https://wordasimage.github.io/Word-As-Image-Page/) [[Paper]](https://arxiv.org/abs/2303.01818) [[Code]](https://github.com/Shiriluz/Word-As-Image)

- SVGDreamer: Text Guided SVG Generation with Diffusion Model (`CVPR 2024`)

  [[Project]](https://ximinng.github.io/SVGDreamer-project/) [[Paper]](https://arxiv.org/abs/2312.16476) [[code]](https://github.com/ximinng/SVGDreamer)