SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 41–50 of 64 papers

TitleStatusHype
Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning—0
PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering—0
The Role of Text-to-Image Models in Advanced Style Transfer Applications: A Case Study with DALL-E 3—0
ToonifyGB: StyleGAN-based Gaussian Blendshapes for 3D Stylized Head Avatars—0
Touch and Go: Learning from Human-Collected Vision and Touch—0
UMFA: A photorealistic style transfer method based on U-Net and multi-layer feature aggregation—0
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians—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
Show:102550
← PrevPage 5 of 7Next →

No leaderboard results yet.