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README.md

Multi-style Generative Network for Real-time Transfer [arXiv] [project]
Hang Zhang, Kristin Dana
@article{zhang2017multistyle,
	title={Multi-style Generative Network for Real-time Transfer},
	author={Zhang, Hang and Dana, Kristin},
	journal={arXiv preprint arXiv:1703.06953},
	year={2017}
}

Installation

We also provide PyTorch implementation and MXNet implementation. Please install Torch7 with cuda and cudnn support. The code has been tested on Ubuntu 16.04 with Titan X Pascal and Maxwell.

luarocks install https://raw.githubusercontent.com/zhanghang1989/MSG-Net/master/texture-scm-1.rockspec

Test and Demo

  1. Clone the repo and download pre-trained models
    git clone git@github.com:zhanghang1989/MSG-Net.git
    cd MSG-Net/experiments
    bash models/download_models.sh 
  2. Web Camera Demo
    qlua webcam.lua
    
  3. Test on Image
    th test.lua -input_image images/content/venice-boat.jpg -image_size 1024
    eog stylized
    

[More Example Results]

Train Your Own Model

Please follow this tutorial to train a new model.

Release Timeline

  • 03/20/2017 we have released the demo video.
  • 03/24/2017 We have released ArXiv paper and test code with pre-trained models.
  • 04/09/2017 We have released the training code.
  • 04/24/2017 Please checkout our PyTorch implementation.

Acknowledgement

The code benefits from outstanding prior work and their implementations including:

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