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Neural Strokes: Stylized Line Drawing of 3D Shapes

This repository contains the PyTorch implementation for ICCV 2021 Paper "Neural Strokes: Stylized Line Drawing of 3D Shapes" by Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis.

Dependency

• The project is developed on Ubuntu 16.04 with cuda10.0 + cudnn7.6. The code has been tested with PyTorch 1.2.0 (GPU version) and Python 3.7.6.
• Python packages:
  • diffvg
  • OpenCV (tested with 4.3.0)
  • PyYAML (tested with 5.3.1)
  • scikit-image (tested with 0.17.2)
  • scipy (tested with 1.4.1)

Dataset and Weights

• Pre-trained model is available here, please put it in weights:

  cd weights
  unzip weights.zip
  

• Dataset is available here, please put it in datasets:

  cd datasets
  unzip datasets.zip
  

Preprocessing

• Preprocess raw data:

  python preprocess.py -s datasets/style_01
  

  -s: path to the data of a single style.

Test

• Test:

  python test.py -d datasets/style_01/test_2 -g weights/style_01/SG.pth -t weights/style_01/ST.pth -s results/style_01__test_2.png
  

  -d: path to testing data.
  -g: path to Stroke Geometry checkpoint.
  -t: path to Stroke Texture checkpoint.
  -s: path to save the synthesized image.

Training

• Start the Stroke Geometry (SG) training:

  python train_SG.py -d datasets/style_01/train -n style_01__SG
  

• After the Stroke Geometry (SG) training is finished, start the Stroke Texture (ST) training:

  python train_ST.py -d datasets/style_01/train -n style_01__ST
  

  -d: path to training data.
  -n: name of the experiment.

Cite:

@InProceedings{Liu_2021_ICCV,
author={Liu, Difan and Fisher, Matthew and Hertzmann, Aaron and Kalogerakis, Evangelos},
title={Neural Strokes: Stylized Line Drawing of 3D Shapes},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
year = {2021}
}

Contact

To ask questions, please email.