Universal Style Transfer

This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.

Official Torch implementation can be found here and Tensorflow implementation can be found here.

Prerequisites

• Pytorch
• torchvision
• Pretrained encoder and decoder models for image reconstruction only (download and uncompress them under models/)
• CUDA + CuDNN

Prepare images

Simply put content and image pairs in images/content and images/style respectively. Note that correspoding conternt and image pairs should have same names.

Style Transfer

python WCT.py --cuda

Results

Acknowledgments

Many thanks to the author Yijun Li for his kind help.

Reference

Li Y, Fang C, Yang J, et al. Universal Style Transfer via Feature Transforms[J]. arXiv preprint arXiv:1705.08086, 2017.

pytorch-wct