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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
Digging Into Self-Supervised Learning of Feature Descriptors—0
Distribution Aligned Multimodal and Multi-Domain Image Stylization—0
Image Steganography based on Style Transfer—0
Image Stylization for Robust Features—0
Image Stylization: From Predefined to Personalized—0
MultiStyleGAN: Multiple One-shot Image Stylizations using a Single GAN—0
Realization RGBD Image Stylization—0
Reference-Conditioned Super-Resolution by Neural Texture Transfer—0
SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Generation—0
StyleTRF: Stylizing Tensorial Radiance Fields—0
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