StyleTransferganGitHub

This is a social volunteering project for implementing neural style transfer algorithm for creating artistic styles with awesome textures to be printed on ...

Neural Style Transfer & Neural Doodles. Implementation of Neural Style Transfer from the paper A Neural Algorithm of Artistic Style in Keras 2.0+. INetwork ...

Application for performing image style transfer from a style transfer onto a content image through a generated image medium. Functions and notes taken from ...

2023年5月25日 — The goal of this project is to use CycleGAN, a type of Generative Adversarial Network (GAN), to convert original images to Monet-style paintings

Neural Style Transfer is a technique that takes two images, a content image and a style image, and blends them together so the content image is in the style of ...

Neural style transfer is an optimization technique used to take two images - a content image and a style reference image (such as an artwork by a famous painter) ...

Fast Style Transfer in TensorFlow. Add styles from famous paintings to any photo in a fraction of a second! You can even style videos!

The purpose of this project is to generate Claude Monet style images from real photos using Generative Adversarial Networks, following the Kaggle Competition I ...

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to ...

Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat ...