Awesome
Neural Style Transfer
This repository is for [Neural Style Transfer Via Meta Networks]. The meta network takes in the style image and generated an image transformation network for neural style transfer. The fast generated model is only 449KB, which is able to real-time execute on a mobile device. For more details please refer and cite this paper
@inproceedings{shen2018style,
author = {Falong Shen, Shuicheng Yan and Gang Zeng},
title = {Neural Style Transfer Via Meta Networks},
booktitle = {CVPR2018},
year = {2018}
}
Installation
This library is based on Caffe. CuDNN 7 and NCCL 1 are required. Please follow the installation instruction of Caffe.
Meta Network Architecture
<div align=center> <img src="python/network.png", width="500" height="300"/> </div>Examples
The size of image transformation network for the following images is 7MB.
The size of image transformation network for the following images is 449KB.
Scripts
Python code. Please execute the scripts in Python folder. Meta model is very huge while the generated model is very small.
- pretrained meta models</br>
Meta model train_8 (
130M), generated model is449KB.</br> Meta model train_32 (968M), generated model is7MB.</br>
Put these models into <font color=red>python/model/<font> and modify the model name in <font color=red>demo.py<font>.