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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 31–40 of 64 papers

TitleStatusHype
Context-Aware Text-Based Binary Image Stylization and Synthesis—0
The Role of Text-to-Image Models in Advanced Style Transfer Applications: A Case Study with DALL-E 3—0
Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image Encoder—0
ToonifyGB: StyleGAN-based Gaussian Blendshapes for 3D Stylized Head Avatars—0
Content-style disentangled representation for controllable artistic image stylization and generation—0
Coherent Online Video Style Transfer—0
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator—0
Learning Graph Neural Networks for Image Style Transfer—0
Learning Visual Styles from Audio-Visual Associations—0
LISA: Localized Image Stylization with Audio via Implicit Neural Representation—0
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