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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 11–20 of 64 papers

TitleStatusHype
Domain Enhanced Arbitrary Image Style Transfer via Contrastive LearningCode1
Controlling Geometric Abstraction and Texture for Artistic ImagesCode1
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film EnhancementCode1
Interactive Control over Temporal Consistency while Stylizing Video StreamsCode1
Learning A Low-Level Vision Generalist via Visual Task PromptCode1
One-Shot Structure-Aware Stylized Image SynthesisCode1
StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual LearningCode1
Instant Photorealistic Neural Radiance Fields StylizationCode0
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture SynthesisCode0
Instance Normalization: The Missing Ingredient for Fast StylizationCode0
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