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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

Showing 1120 of 64 papers

TitleStatusHype
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film EnhancementCode1
Interactive Control over Temporal Consistency while Stylizing Video StreamsCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
WISE: Whitebox Image Stylization by Example-based LearningCode1
StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual LearningCode1
Domain Enhanced Arbitrary Image Style Transfer via Contrastive LearningCode1
Frustratingly Simple Domain Generalization via Image StylizationCode1
ToonifyGB: StyleGAN-based Gaussian Blendshapes for 3D Stylized Head Avatars0
Balanced Image Stylization with Style Matching Score0
Multiscale style transfer based on a Laplacian pyramid for traditional Chinese paintingCode0
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