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Joint Gap Detection and Inpainting of Line Drawings

Kazuma Sasaki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa

Overview

This code provides an implementation of the research paper:

  Kazuma Sasaki, Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa.
  "Joint Gap Detection and Inpainting of Line Drawings".
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

We propose a data-driven approach for detecting and completing the missing regions in images of line drawings using a deep convolutional neural network. Our method automatically detects gaps and completes them with correct thickness and curvature without any user interaction.

See our project page for more detailed information.

License

  Copyright (C) <2017> <Kazuma Sasaki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa>

  This work is licensed under the Creative Commons
  Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy
  of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ or
  send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
  
  Kazuma Sasaki, Waseda University
  milky_kaid.lc@ruri.waseda.jp
  Satoshi Iizuka, Waseda University
  iizuka@aoni.waseda.jp, http://hi.cs.waseda.ac.jp/~iizuka/index_eng.html
  Edgar Simo-Serra, Waseda University
  esimo@aoni.waseda.jp, http://hi.cs.waseda.ac.jp/~esimo/

Dependencies

Usage

First, download the inpainting model by running the download script:

./download_model.sh

Basic usage is:

th main.lua --input <input_image_path> [ --output <output_image_path> ]

For example:

th main.lua --input samples/eval2.png

Notes

Citing

If you use this code please cite:

 @InProceedings{SasakiCVPR2017,
  author = {Kazuma Sasaki and Satoshi Iizuka and Edgar Simo-Serra and Hiroshi Ishikawa},
  title = {{Joint Gap Detection and Inpainting of Line Drawings}},
  booktitle = "Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR)",
  year = 2017,
}