Style Transfer
Style transfer is the task of changing the style of an image in one domain to the style of an image in another domain.
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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
ICCV 2017
• tensorflow/models
• 
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.
#2 best model for
Image-to-Image Translation
on Cityscapes Photo-to-Labels
MULTIMODAL UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION STYLE TRANSFER UNSUPERVISED IMAGE-TO-IMAGE TRANSLATION
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.
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.
#5 best model for
Nuclear Segmentation
on Cell17
Deep Photo Style Transfer
CVPR 2017
• luanfujun/deep-photo-styletransfer
• 
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
• lengstrom/fast-style-transfer
•
It this paper we revisit the fast stylization method introduced in Ulyanov et.
Preserving Color in Neural Artistic Style Transfer
This note presents an extension to the neural artistic style transfer algorithm (Gatys et al.).
Artistic style transfer for videos
We present an approach that transfers the style from one image (for example, a painting) to a whole video sequence.
Neural Style Transfer: A Review
• ycjing/Neural-Style-Transfer-Papers
•
We first propose a taxonomy of current algorithms in the field of NST.
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
• DmitryUlyanov/texture_nets
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Gatys et al. recently demonstrated that deep networks can generate beautiful textures and stylized images from a single texture example.