msracver / style-feature-reshuffle

caffe implementation of "Arbitrary Style Transfer with Deep Feature Reshuffle"

Arbitrary Style Transfer with Deep Feature Reshuffle

The major contributors of this repository include Shuyang Gu, Congliang Chen, Jing Liao, Lu Yuan at Microsoft Research.

Introduction

Deep Feature Reshuffle is a technique to using reshuffling deep features of style image for arbitrary style transfer. It connects both global and local style constrain respectively used by most parametric and non-parametric neural style transfer methods.

Disclaimer

This is an official C++ combined with CUDA implementation of "Arbitrary Style Transfer with Deep Feature Reshuffle". It is worth noticing that:

• Our codes are based on Caffe.
• Our codes only have been tested on Windows 10 and Windows Server 2012 R2 with CUDA 8 or 7.5.
• Our codes only have been tested on several Nvidia GPU: Titan X, Titan Z, K40, GTX770.

License

© Microsoft, 2018. Licensed under a MIT license.

Citation

If you find Deep Feature Reshuffle helpful for your research, please consider citing:

@inproceedings{gu2018arbitrary, 
title={Arbitrary Style Transfer with Deep Feature Reshuffle}, 
author={Gu, Shuyang and Chen, Congliang and Liao, Jing and Yuan, Lu}, 
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}, 
pages={8222--8231}, 
year={2018} 
} 

Getting Started

Prerequisite

• Windows 7/8/10
• CUDA 8 or 7.5
• Visual Studio 2013

Build

• Build Caffe at first. Just download and follow the tutorial here.
• Put style_feature_reshuflle under windows/
• Edit style_feature_reshuffle.vcxproj under style_feature_reshuffle to make the CUDA version in it match yours .
• Open solution Caffe and add style_feature_reshuffle project.
• Build project style_feature_reshuffle.

Running code

-style_feature_reshuffle content_image_name style_image_name output_image_name gpu_id