Code for Neural Style Transfer.
This code provides a TensorFlow implementation and pretrained models for Artistic Neural Style Transfer, as described in the paper A Neural Algorithm of Artistic Style by Leon A. Gatys, Alexander S. Ecker, Matthias Bethge.
The implementation is supported by Weights and Biases reports. The implementation is divided into two parts:
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#1Content_Representation.ipynb - For content representation
#2Amalgamation.ipynb - For amalgamation
#3Style_Representation.ipynb - For style representation
#4Style_Transfer.ipynb - For style transfer
README.md
Utils
norm_colab.ipynb - Usage of downloaded and normalizer
vgg-norm.py - The normalizer in `tf.keras`
Special Mention: We have used ImageNet dataset downloader to download a specific amount of images from the ImageNet API.
Normalization repository has been used to properly normalize the activation maps of the pre-trained VGG16 model. The code base of the repository has been modified a little bit to be able to harness tf.keras
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Content Representation
Amalgamation
Style Representation
Neural Style Transfer
Photo-Realistic Images
Name | Github | |
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Aritra Roy Gosthipaty | @ariG23498 | @ariG23498 |
Devjyoti Chakraborty | @cr0wley-zz | @Cr0wley_zz |