feat(index): update

README.md

@@ -9,52 +9,64 @@ pinned: false
 
 # 👋Hi! Welcome to 🤗Pytorch-SVGRender 👋
 
-<figure class="image text-center">
-<img src="./assets/cover.png" alt="Pytorch-SVGRender">
-<figcaption>Pytorch-SVGRender: The go-to library for differentiable rendering methods for SVG generation.</figcaption>
+<figure>
+<img src="/assets/cover.png" alt="Pytorch-SVGRender">
+<figcaption><b>Pytorch-SVGRender: The go-to library for differentiable rendering methods for SVG generation.</b></figcaption>
 </figure>
 
-## Recent Updates
+## 🌟 About Us
 
-- [03/2024] 🔥 We set up the organization。
-- [12/2023] 🔥 We open-sourced Pytorch-SVGRender V1.0.
+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.
 
-## Links
+## 🔥 What's New?
 
-🌐 Project: https://ximinng.github.io/PyTorch-SVGRender-project/ <br/>
-📁 Code: https://github.com/ximinng/PyTorch-SVGRender <br />
-📄 Docs: https://pytorch-svgrender.readthedocs.io/en/latest/index.html
+- [03/2024] 🎉 We officially launched our organization!
+- [12/2023] 🚀 Pytorch-SVGRender V1.0 is now open-source!
 
-## Table of Contents
+## 🔗 Useful Links
+
+🌐 Project Page: [Pytorch-SVGRender](https://ximinng.github.io/PyTorch-SVGRender-project/) <br/>
+📁 Code Repository: [Github](https://github.com/ximinng/PyTorch-SVGRender) <br/>
+📄 Documentation: [Read the Docs](https://pytorch-svgrender.readthedocs.io/en/latest/index.html) <br/>
+🤗 HuggingFace Hub: [SVGRender](https://huggingface.co/SVGRender)
+
+## 📚 Table of Contents
 
 ### 1. Image Vectorization Methods
 
-- 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)
+Convert raster images into editable vector graphics.
 
 ### 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)
-
-## Join Us!
-
-Looking forward to read your posts! 😊
+Generate vector graphics directly from **text prompts.**
+
+## 🌟 How to Contribute?
+
+We welcome contributions from the community! You can help by:
+
+🔹 Reporting Issues – Found a bug? Let us know in the GitHub Issues.
+🔹 Submitting Pull Requests – Have an improvement? Open a PR!
+🔹 Joining Discussions – Share ideas in the GitHub Discussions.
+🔹 Spreading the Word ��� Star ⭐ our repo and share it with your friends!
+
+🚀 Want to get started? Check out our Contribution Guidelines.
+
+## 🙌 Join the Community!
+
+We’re always looking for passionate people to help improve Pytorch-SVGRender. Whether you're an AI researcher,
+developer, designer, or SVG enthusiast—we’d love to have you on board!
+
+## 🎉 Fun Fact
+
+We take our SVGs as seriously as our coffee ☕. Some of us start the day with a perfectly vectorized latte art! 😆
+
+## 📜 License
+
+This project is open-source under the Mozilla Public License 2.0.
+
+### 🚀 Transform raster images into vector magic!**
+
+Give us a ⭐ on [GitHub](https://github.com/ximinng/PyTorch-SVGRender) if you like our work! 😊