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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 51–64 of 64 papers

TitleStatusHype
SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Generation—0
UMFA: A photorealistic style transfer method based on U-Net and multi-layer feature aggregation—0
StyleTRF: Stylizing Tensorial Radiance Fields—0
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians—0
Aesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation—0
Texture Underfitting for Domain Adaptation—0
Distribution Aligned Multimodal and Multi-Domain Image Stylization—0
Digging Into Self-Supervised Learning of Feature Descriptors—0
Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning—0
Co-Attention for Conditioned Image Matching—0
Image Steganography based on Style Transfer—0
Image Stylization for Robust Features—0
Image Stylization: From Predefined to Personalized—0
PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering—0
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