Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Extension of "Style Transfer by Relaxed Optimal Transport and Self-Similarity" to videos

Realtime fast style transfer in the web browser using webdnn

This is a social volunteering project for Leveraging generative AI to craft climate-conscious designs, turning digital innovation into real-world educational impact.

Explore image transformations with DeepDream Algorithm and Neural Style Transfer in creative image processing.

Composable, light-weight style transfer

Apply Style of one image onto another image using VGG19 Deep Neural Network in PyTorch

This project implements Cycle Generative Adversarial Networks (CycleGANs) to perform style transfer, transforming images to emulate the style of Monet's paintings.

In this notebook, we’ll recreate a style transfer method that is outlined in the paper, Image Style Transfer Using Convolutional Neural Networks, by Gatys in PyTorch.

Implementation of Linear style transfer for sementics change

A playground containig various use cases of deep learnong such as style-transfer, Logistic Regression, etc

CodeCanvas consist neural style transfer models to blend the content of one image with another, allowing users to create visually stunning compositions effortlessly.

Implementation of A Neural Algorithm of Artistic Style(Gatys et. al.) but with MobileNetV2 backend instead of VGG.

Implementations of neural style transfer algorithms.

A PyTorch project implementing neural style transfer using the VGG19 model, combining the content of one image with the style of another for artistic transformations.

Neural style transfer is a technique that allows you to recompose images in the style of other images. This implementation is based on the approach outlined in the paper Perceptual Losses for Real-Time Style Transfer and Super-Resolution by Justin Johnson, Alexandre Alahi, and Li Fei-Fei.