We will visualize the style transfer output produced by monet_generator_model. We take 5 sample images that are photos of beautiful landscapes in the original dataset and feed them to the model.

Unofficial Pytorch Implementation of 'Image Style Transfer Using Convolutional Neural Networks'

Compact image style transfer with channel and xor losses

This repository consists of some basic Computer Vision & Linear Regression Projects.

Unofficial Pytorch Implementation of 'Uncorrelated feature encoding for faster style transfer'

Machine Learning X Computer vision Project

Pablo is a webtool to transfer image styles onto an uploaded image using Tensorflow Hub and Google's Magenta library

This project aims to develop an application that leverages machine learning to transfer artistic styles onto real-time webcam feed or uploaded images using computer graphics techniques. The ML model will be responsible for understanding the artistic style, and the computer graphics part will apply this style to the input images.

In this study, we work to transfer the pattern to the basic face image from the pattern face image, by adjusting the latent space and moving within it.

This project features Image Style Transfer using the VGG19 neural network. Style transfer merges the artistic style of one image with the content of another. Leveraging the powerful VGG19 convolutional neural network, it excels in image-related tasks.

Fei Gao's Homepage

Season Style Transfer: Creating season changing video using Style Transfer

Image Style Transfer Using Convolutional Neural Networks

Web app for investigating image style transfer with VGG19 built as a BSc final year project 2020/2021

Application for performing image style transfer from a style transfer onto a content image through a generated image medium. Functions and notes taken from Coursera's Deeplearning.ai Convolutional Neural Networks course.

PyTorch implementation of Gatys et al., 2016 from scratch

To realize image style transfer using basic components of neural network

PyTorch implementation of "A Learned Representation For Artistic Style"

Dissertation Project based on Image Style Transfer. Created a user interactive graphics editor that allows users to create masks to control the region where the algorithm will effect.

A macOS Swift Playground for testing your image stylizing CoreML model