AI & ML interests

SVG Differentiable Rendering: Generating vector graphics using neural networks.

👋Hi! Welcome to 🤗Pytorch-SVGRender 👋

Pytorch-SVGRender
Pytorch-SVGRender: The go-to library for differentiable rendering methods for SVG generation.

Recent Updates

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

Links

🌐 Project: https://ximinng.github.io/PyTorch-SVGRender-project/
📁 Code: https://github.com/ximinng/PyTorch-SVGRender
📄 Docs: https://pytorch-svgrender.readthedocs.io/en/latest/index.html

Table of Contents

1. Image Vectorization Methods

2. Text-to-SVG Synthesis

  • CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders (NIPS 2022) [Paper] [Code]
  • StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis [Live] [Paper] [Code]
  • CLIPFont: Texture Guided Vector WordArt Generation (BMVC 2022) [Paper] [Code]
  • VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models (CVPR 2023) [Project] [Paper]
  • DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models (NIPS 2023) [Project] [Live] [Paper] [Code]
  • Word-As-Image for Semantic Typography (SIGGRAPH 2023) [Project] [Paper] [Code]
  • SVGDreamer: Text Guided SVG Generation with Diffusion Model (CVPR 2024) [Project] [Paper] [code]

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Looking forward to read your posts! 😊

models

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datasets

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