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An official repository for "TypeDance: Creating Semantic Typographic Logos from Image through Personalized Generation." (https://arxiv.org/abs/2401.11094)

License: GNU Affero General Public License v3.0

Python 17.34% HTML 0.49% JavaScript 10.91% Vue 70.76% CSS 0.34% Jupyter Notebook 0.16%

typedance's Introduction

TypeDance: Creating Semantic Typographic Logos from Image throughPersonalized Generation

CHI 2024

Paper | Supplemental Video

License | Citation | Contact


figures/teaser.png

Dependencies and Installation

git clone https://github.com/SerendipitysX/TypeDance.git
cd TypeDance
conda create --name <environment_name> --file requirements.txt

Pretrained Model

In this work, we benefit from some excellent pretrained models, including Segment Anything for user to point out specific visual representation in an image and DIS for background removal. For generation, we use Diffusers, and the model we choose is runwayml/stable-diffusion-v1-5.

To use these models, please follow the steps below:

  1. Download the background removal model from here.
  2. Download the segment anything model from here
  3. Unzip the folder and save them to models/.

Backend Setup

python TypeDance.py

Frontend Setup

  1. Go to TypeDance/frontend path

  2. Install all the needed packages through npm

    npm install
    
  3. Compiles and hot-reloads for development

    npm run dev
    

figures/interface.png

Cases

By specifying the typeface and object in the image, users are allowed to combine them to generate a harmonious blend. See the figure below for details. figures/case2.png

Contact

We are glad to hear from you. If you have any questions, please feel free to contact [email protected] or open issues on this repository.

license

This project is open sourced under GNU Affero General Public License v3.0.

Citation

If this work helps your research or if you use any resources in this repository, please consider to cite:

@inproceedings{xiao2024typedance,
  title={TypeDance: Creating Semantic Typographic Logos from Image throughPersonalized Generation},
  author={Xiao, Shishi and Wang, Liangwei and Ma, Xiaojuan and Zeng, Wei},
  booktitle={Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems},
  year={2024}
}

typedance's People

Contributors

serendipitysx avatar

Stargazers

DIO avatar Jaewook Lee avatar Lydia avatar _1000 avatar  avatar WendaShi avatar Huayuan Ye avatar Ling Li avatar

Watchers

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