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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 21–30 of 64 papers

TitleStatusHype
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator—0
Balanced Image Stylization with Style Matching Score—0
AI-Driven Stylization of 3D Environments—0
Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image Encoder—0
Learning Graph Neural Networks for Image Style Transfer—0
Image Steganography based on Style Transfer—0
Distribution Aligned Multimodal and Multi-Domain Image Stylization—0
Automatic Image Stylization Using Deep Fully Convolutional Networks—0
Content-style disentangled representation for controllable artistic image stylization and generation—0
Digging Into Self-Supervised Learning of Feature Descriptors—0
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