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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
WISE: Whitebox Image Stylization by Example-based LearningCode1
PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering—0
Learning Graph Neural Networks for Image Style Transfer—0
StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual LearningCode1
Domain Enhanced Arbitrary Image Style Transfer via Contrastive LearningCode1
Learning Visual Styles from Audio-Visual Associations—0
Image Steganography based on Style Transfer—0
JoJoGAN: One Shot Face StylizationCode2
Digging Into Self-Supervised Learning of Feature Descriptors—0
UMFA: A photorealistic style transfer method based on U-Net and multi-layer feature aggregation—0
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