Skip to content

ojus1/StyleTransfer

Repository files navigation

#StyleTransfer Neural Style Transfer using convolutional autoencoders.

This is an implementation of the paper "Universal Style Transfer using Feature Transforms" https://arxiv.org/pdf/1705.08086.pdf

Instructions for running: Change the "StyleTransfer" function call in "test_stylize.py" Currently there are three different autoencoders trained which are of varying depths/no. of filters, Level1 being the shallowest, Level3 being the deepest.

Some results:

Plus This gives this This gives this This gives this

About

Neural Style transfer using a small autoencoder

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages