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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
MagicStyle: Portrait Stylization Based on Reference Image—0
Instant Photorealistic Neural Radiance Fields StylizationCode0
Instance Normalization: The Missing Ingredient for Fast StylizationCode0
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture SynthesisCode0
Stylization-Based Architecture for Fast Deep Exemplar ColorizationCode0
A Style-Aware Content Loss for Real-time HD Style TransferCode0
APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANsCode0
A Closed-form Solution to Photorealistic Image StylizationCode0
Structure-Aware Stylized Image Synthesis for Robust Medical Image SegmentationCode0
Multiscale style transfer based on a Laplacian pyramid for traditional Chinese paintingCode0
TileGAN: Synthesis of Large-Scale Non-Homogeneous TexturesCode0
Image Super-Resolution by Neural Texture TransferCode0
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand SegmentationCode0
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image StylizationCode0
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