A PyTorch implementation of 'A Neural Algorithm of Artistic Style' by L. Gatys, A. Ecker, and M. Bethge.
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Updated
Apr 17, 2018 - Python
A PyTorch implementation of 'A Neural Algorithm of Artistic Style' by L. Gatys, A. Ecker, and M. Bethge.
Exploring Neural Style Transfer with keras.
Neural Style transfer from Scratch using Tensorflow Low Level APIs
This is an implementation of Neural Style Transfer algorithm using Tensorflow, to programatically paint an image following the style of another image using Neural Style Transfer algorithm.
Basic Neural Style Transfer using Keras and Tensorflow
🎨 Implementation of Fast Neural Style Transfer proposed by Justin Johnson et al. in the paper Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Neural style transfer in PyTorch using the VGG-19 Pretrained model to create artistic style image
Neural Style Transfer as an optimization technique
Neural style transfer experiments at human scale
A demo of arbitrary style transfer as described in: Ghiasi, Lee, Kudlur, Dumoulin, Shlens - _Exploring the Structure of a Real-Time, Arbitrary Neural Artistic Stylization Network_, 2017.
Students Project at the Technion for generating natural looking images from a single image, using deep features of VGG19 and a hierarchical architecture based on SinGAN
A project created within the MWML Incubator, the goal of our project is to extend neural style transfer, using multiple styles, to multiple objects identified by the Detectron2 architecture. Previously, neural style transfer was limited to stylizing the entirety of a single image using one style image. In this project, we aim to improve upon the…
Image Style Transfer Using Convolutional Neural Networks
Applied Transfer Learning using VGG16 model. Built web app using springboot, react, tensorflow, colab
Implementation of a Neural Netwrok to perform Style Transfer, using transfer learning of a VGG19 imagenet model
What follows are Python Programs in addition to Jupyter Notebook Examples that were referenced throughout the Udacity - AI Programming with Python Curriculum
One of the curious outcome of data science revolution is neural style transfer where nst algorithm merge two images, content and style, creating a artistic image of content image. Here TensorFlow is used to process images and lastly used nst algorithm.
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