Line Width Normalization
Overview
This code provides a pre-trained model of a part (line width normalization) of the research paper:
Real-Time Data-Driven Interactive Rough Sketch Inking
Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa
ACM Transactions on Graphics (SIGGRAPH), 2018
See our project page for more detailed information.
Dependencies
All packages should be part of a standard PyTorch install. For information on how to install PyTorch please refer to the torch website.
Usage
python thin.py [infile] [outfile]
By default infile is set to "in.png" and outfile is set to "out.png".
Citing
If you use these models please cite:
@Article{SimoSerraSIGGRAPH2018,
author = {Edgar Simo-Serra and Satoshi Iizuka and Hiroshi Ishikawa},
title = {{Real-Time Data-Driven Interactive Rough Sketch Inking}},
journal = "ACM Transactions on Graphics (SIGGRAPH)",
year = 2018,
volume = 37,
number = 4,
}
Acknowledgements
This work was partially supported by JST CREST Grant Number JPMJCR14D1, and JST ACT-I Grant Numbers JPMJPR16UD and JPMJPR16U3.
License
The model weights are shared under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. See LICENSE for more information