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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 26–50 of 64 papers

TitleStatusHype
Instant Photorealistic Neural Radiance Fields StylizationCode0
Multiscale style transfer based on a Laplacian pyramid for traditional Chinese paintingCode0
Structure-Aware Stylized Image Synthesis for Robust Medical Image SegmentationCode0
Stylization-Based Architecture for Fast Deep Exemplar ColorizationCode0
TileGAN: Synthesis of Large-Scale Non-Homogeneous TexturesCode0
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
MagicStyle: Portrait Stylization Based on Reference Image—0
Multi-Attribute Guided Painting Generation—0
Touch and Go: Learning from Human-Collected Vision and Touch—0
MultiStyleGAN: Multiple One-shot Image Stylizations using a Single GAN—0
Balanced Image Stylization with Style Matching Score—0
Automatic Image Stylization Using Deep Fully Convolutional Networks—0
AI-Driven Stylization of 3D Environments—0
Realization RGBD Image Stylization—0
Aesthetics of Neural Network Art—0
Reference-Conditioned Super-Resolution by Neural Texture Transfer—0
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