There are 2 repositories under neural-style-transfer-tensorflow topic.
Code for Neural Style Transfer.
Neural Style Transfer Algorithm
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 control of this style transfer by allowing users to select which objects to stylize and the style image to be used. Multiple objects can be stylized using different multiple styles (style images can either be uploaded by the user or chosen from a pre-set dictionary of styles) in one pass of the program, resulting in a single output image where objects within the image are stylized according to the specifications of the user.
This repository is containing my Jupyter files.
Implementation of Neural Style Transfer algorithm with pre-trained VGG-16 Network & TensorFlow in Python 3.
one-style and multi-style custom neural transformation
Neural Style Transfer using deep learning
Basic implementation of neural style transfer using Tensorflow
Implementation of the paper: https://arxiv.org/pdf/1508.06576.pdf
Generate an Image with the Same "Content" As a Base Image, But with the "Style" of a Different Picture
Explore image transformations with DeepDream Algorithm and Neural Style Transfer in creative image processing.
Use Neural Networks to Paint Images in Famous Styles
A popular optimization technique which allows us to blend two images, a content image and a style reference image, and output a new image having the content features of the first image and the styling of the latter.
Applies the style of a given image to the content of input image