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# sketch2normal | ||
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This is the implementation of the paper "Interactive Sketch-Based Normal Map Generation with Deep Neural Networks". | ||
This is the implementation of the paper [Interactive Sketch-Based Normal Map Generation with Deep Neural Networks](http://sweb.cityu.edu.hk/hongbofu/doc/sketch2normal_i3D2018.pdf) | ||
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<img src="./teaser.png" width="600px"/> | ||
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## Setup | ||
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We run the program on a Linux desktop using python. | ||
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## Usage | ||
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- Train the model: | ||
'''bash | ||
pyhton main.py --phase train --dataset_name <dataset> | ||
''' | ||
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- Test: | ||
'''bash | ||
python main.py --phase test --dataset_name <dataset> | ||
''' | ||
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- Visulize the training process: | ||
'''bash | ||
cd logs | ||
tensorboard --logdir=./ | ||
''' | ||
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- Data: TBA | ||
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## Acknowledgement | ||
This code is based on the implementation of pix2pix from [pix2pix-tensorflow](https://github.com/yenchenlin/pix2pix-tensorflow). Thanks for the great work! |
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