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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 1–10 of 64 papers

TitleStatusHype
Implicit Style-Content Separation using B-LoRACode3
OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization DataCode3
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationCode3
EDICT: Exact Diffusion Inversion via Coupled TransformationsCode2
DiffArtist: Towards Structure and Appearance Controllable Image StylizationCode2
JoJoGAN: One Shot Face StylizationCode2
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film EnhancementCode1
Interactive Control over Temporal Consistency while Stylizing Video StreamsCode1
Domain Enhanced Arbitrary Image Style Transfer via Contrastive LearningCode1
Controlling Geometric Abstraction and Texture for Artistic ImagesCode1
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