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Image Stylization

Image stylization is a task that involves transforming an input image into a new image that has a different style, while preserving the content of the original image. The goal of image stylization is to create visually appealing images with a specific style or aesthetic, such as impressionism, cubism, or surrealism. It can also be used to make images more visually appealing for specific applications, such as social media or advertising.

Papers

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Showing 51–64 of 64 papers

TitleStatusHype
Texture Underfitting for Domain Adaptation—0
APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANsCode0
TileGAN: Synthesis of Large-Scale Non-Homogeneous TexturesCode0
Aesthetics of Neural Network Art—0
Image Super-Resolution by Neural Texture TransferCode0
Automatic Image Stylization Using Deep Fully Convolutional Networks—0
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image StylizationCode0
Context-Aware Text-Based Binary Image Stylization and Synthesis—0
A Style-Aware Content Loss for Real-time HD Style TransferCode0
Reference-Conditioned Super-Resolution by Neural Texture Transfer—0
A Closed-form Solution to Photorealistic Image StylizationCode0
Coherent Online Video Style Transfer—0
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture SynthesisCode0
Instance Normalization: The Missing Ingredient for Fast StylizationCode0
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