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Implementation of Texture Synthesis and Texture Transfer using Image Quilting. Based on the work of Alexei Efros and William Freeman. Course Project for CS 663.

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Image Quilting for Texture Synthesis & Transfer

Course Project for CS663


Implementation of Texture Synthesis and Texture Transfer using Image Quilting. Based on the work of Alexei Efros and William Freeman.

Usage

First, clone this repository using git clone https://github.com/tezansahu/ImageQuilting.git

CLI Tool:

To use the CLI tool associated with our project do the following:

  • cd code/
  • To perform Texture Synthesis use: python3 main.py --synthesis -i <texture_img> -b <block_size> -o <overlap_size> -t <tolerance>
  • To perform Texture Transfer use: python3 main.py --transfer -i1 <texture_img> -i2 <target_img> -b <block_size> -o <overlap_size> -t <tolerance> -a <alpha>

For more details, use python3 main.py -h

TEXTURify Cross-Platform App:

Go into the TEXTURify directory using cd TEXTURify/

To set up the FastAPI Server, do the following:

cd server/
pip3 install -r requirements.txt
uvicorn texturify_api:app --reload

The server would start running on localhost:8000

Now, to set up the Ionic App, spin up a new terminal & type ionic serve [After installing ionic using npm]

This starts the app on localhost:8100.

Disable CORS on your browser (using some extension) and start playing with the app.

Results

Some Results for Texture Synthesis

Input Image Synthesized Texture

Some Results for Texture Transfer

Target Image Texture Image Result

Created with ❤️ by Tezan Sahu, Siddharth Saha & Saavi Yadav

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Implementation of Texture Synthesis and Texture Transfer using Image Quilting. Based on the work of Alexei Efros and William Freeman. Course Project for CS 663.

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  • Python 41.8%
  • TypeScript 38.1%
  • HTML 13.3%
  • CSS 4.9%
  • JavaScript 1.9%