Style Transfer

446 papers with code • 2 benchmarks • 16 datasets

Style transfer is the task of changing the style of an image in one domain to the style of an image in another domain.

( Image credit: A Neural Algorithm of Artistic Style )

Most implemented papers

A Neural Algorithm of Artistic Style

jcjohnson/neural-style 26 Aug 2015

In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image.

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

junyanz/pytorch-CycleGAN-and-pix2pix ICCV 2017

Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs.

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

alexjc/neural-enhance 27 Mar 2016

We consider image transformation problems, where an input image is transformed into an output image.

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

xunhuang1995/AdaIN-style ICCV 2017

Gatys et al. recently introduced a neural algorithm that renders a content image in the style of another image, achieving so-called style transfer.

Deep Photo Style Transfer

luanfujun/deep-photo-styletransfer CVPR 2017

This paper introduces a deep-learning approach to photographic style transfer that handles a large variety of image content while faithfully transferring the reference style.

Instance Normalization: The Missing Ingredient for Fast Stylization

DmitryUlyanov/texture_nets 27 Jul 2016

It this paper we revisit the fast stylization method introduced in Ulyanov et.

Universal Style Transfer via Feature Transforms

Yijunmaverick/UniversalStyleTransfer NeurIPS 2017

The whitening and coloring transforms reflect a direct matching of feature covariance of the content image to a given style image, which shares similar spirits with the optimization of Gram matrix based cost in neural style transfer.

Exploring the structure of a real-time, arbitrary neural artistic stylization network

magenta/magenta 18 May 2017

In this paper, we present a method which combines the flexibility of the neural algorithm of artistic style with the speed of fast style transfer networks to allow real-time stylization using any content/style image pair.

Deep Feature Consistent Variational Autoencoder

AntixK/PyTorch-VAE 2 Oct 2016

We present a novel method for constructing Variational Autoencoder (VAE).

Style Transfer from Non-Parallel Text by Cross-Alignment

shentianxiao/language-style-transfer NeurIPS 2017

We demonstrate the effectiveness of this cross-alignment method on three tasks: sentiment modification, decipherment of word substitution ciphers, and recovery of word order.