Style Transfer
295 papers with code • 0 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 )
Benchmarks
Datasets
DukeMTMC-reID
MPI Sintel
FAUST
MPIIGaze
iKala
Touchdown Dataset
POP909
Subtasks
Greatest papers with code
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
tensorflow/models
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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.
Ranked #1 on
Image-to-Image Translation
on photo2vangogh
(Frechet Inception Distance metric)
Multimodal Unsupervised Image-To-Image Translation
Style Transfer
+1
Politeness Transfer: A Tag and Generate Approach
fighting41love/funNLP
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ACL 2020
This paper introduces a new task of politeness transfer which involves converting non-polite sentences to polite sentences while preserving the meaning.
A Neural Algorithm of Artistic Style
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.
Exploring the structure of a real-time, arbitrary neural artistic stylization network
magenta/magenta
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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.
Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN
Recently, with the revolutionary neural style transferring methods, creditable paintings can be synthesized automatically from content images and style images.
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
We consider image transformation problems, where an input image is transformed into an output image.
Ranked #4 on
Nuclear Segmentation
on Cell17
Instance Normalization: The Missing Ingredient for Fast Stylization
lengstrom/fast-style-transfer
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It this paper we revisit the fast stylization method introduced in Ulyanov et.
Deep Photo Style Transfer
luanfujun/deep-photo-styletransfer
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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.
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer
PaddlePaddle/PaddleGAN
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CVPR 2021
Inspired by the common painting process of drawing a draft and revising the details, we introduce a novel feed-forward method named Laplacian Pyramid Network (LapStyle).
Preserving Color in Neural Artistic Style Transfer
This note presents an extension to the neural artistic style transfer algorithm (Gatys et al.).