Neural style transfer is an algorithm that takes two images and generates an image with the content
of one image with the style of the other. The techniques can be found in Leon A. Gatys, Alexander S. Ecker, and
Matthias Bethge 's "A Neural Algorithm of Artistic Style".
My implementation uses intermediate layers of Keras' pre-trained VGG-19 model.
While the content cost is computed using the activation of layer 3, the weighted style cost is computed using the
activations of layers 2, 3, 4 with weights (0.3, 0.4, 0.3). Optimization is done using scipy's L-BFGS implementation.
-
Notifications
You must be signed in to change notification settings - Fork 0
hiphan/neural-style-transfer
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Python implementation of the Neural Style Transfer algorithm using Keras and SciPy.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published