Image Stylization

12 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

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.

A Closed-form Solution to Photorealistic Image Stylization

NVIDIA/FastPhotoStyle ECCV 2018

Photorealistic image stylization concerns transferring style of a reference photo to a content photo with the constraint that the stylized photo should remain photorealistic.

A Style-Aware Content Loss for Real-time HD Style Transfer

CompVis/adaptive-style-transfer ECCV 2018

These and our qualitative results ranging from small image patches to megapixel stylistic images and videos show that our approach better captures the subtle nature in which a style affects content.

Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization

zalandoresearch/famos 22 Nov 2018

Parametric generative deep models are state-of-the-art for photo and non-photo realistic image stylization.

Image Super-Resolution by Neural Texture Transfer


Reference-based super-resolution (RefSR), on the other hand, has proven to be promising in recovering high-resolution (HR) details when a reference (Ref) image with similar content as that of the LR input is given.

APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs

yiranran/APDrawingGAN CVPR 2019

Moreover, artists tend to use different strategies to draw different facial features and the lines drawn are only loosely related to obvious image features.

Frustratingly Simple Domain Generalization via Image Stylization

GT-RIPL/DomainGeneralization-Stylization 19 Jun 2020

Convolutional Neural Networks (CNNs) show impressive performance in the standard classification setting where training and testing data are drawn i. i. d.

Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis

DmitryUlyanov/texture_nets CVPR 2017

The recent work of Gatys et al., who characterized the style of an image by the statistics of convolutional neural network filters, ignited a renewed interest in the texture generation and image stylization problems.

TileGAN: Synthesis of Large-Scale Non-Homogeneous Textures

afruehstueck/tileGAN 29 Apr 2019

We tackle the problem of texture synthesis in the setting where many input images are given and a large-scale output is required.

Stylization-Based Architecture for Fast Deep Exemplar Colorization

ae1999/Stylization-Based-Colorization-with-Deep-Learning CVPR 2020

Exemplar-based colorization aims to add colors to a grayscale image guided by a content related reference im- age.