Art Generation with Neural Style Transfer in 200 lines of code
-
Updated
Oct 25, 2018 - Python
Art Generation with Neural Style Transfer in 200 lines of code
Pre-trained VGG-Net Model for image classification using tensorflow
Neural Style Transfer Algorithm
VGG19 feature extractor using PyTorch framework
Implementation of 2D Neural Style Transfer in a manner proposed in an original paper, along with optimization for preserving content image colors.
Introduce and implement the Neural Style
Grayscale image colorization using a U-Net CNN (with VGG-19) and perceptual loss.
Add a description, image, and links to the vgg-19 topic page so that developers can more easily learn about it.
To associate your repository with the vgg-19 topic, visit your repo's landing page and select "manage topics."