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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
Instant Photorealistic Neural Radiance Fields StylizationCode0
StyleTRF: Stylizing Tensorial Radiance Fields—0
Touch and Go: Learning from Human-Collected Vision and Touch—0
LISA: Localized Image Stylization with Audio via Implicit Neural Representation—0
MultiStyleGAN: Multiple One-shot Image Stylizations using a Single GAN—0
PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering—0
Learning Graph Neural Networks for Image Style Transfer—0
Learning Visual Styles from Audio-Visual Associations—0
Image Steganography based on Style Transfer—0
Digging Into Self-Supervised Learning of Feature Descriptors—0
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