Image Stylization
23 papers with code • 0 benchmarks • 0 datasets
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.
Benchmarks
These leaderboards are used to track progress in Image Stylization
Most implemented papers
Controlling Geometric Abstraction and Texture for Artistic Images
MartinBuessemeyer/Artistic-Texture-Control
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We present a novel method for the interactive control of geometric abstraction and texture in artistic images.
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
yangxy/pasd
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Diffusion models have demonstrated impressive performance in various image generation, editing, enhancement and translation tasks.
One-Shot Structure-Aware Stylized Image Synthesis
hansam95/osasis
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While GAN-based models have been successful in image stylization tasks, they often struggle with structure preservation while stylizing a wide range of input images.
