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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 1–25 of 64 papers

TitleStatusHype
OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization DataCode3
Implicit Style-Content Separation using B-LoRACode3
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationCode3
JoJoGAN: One Shot Face StylizationCode2
EDICT: Exact Diffusion Inversion via Coupled TransformationsCode2
DiffArtist: Towards Structure and Appearance Controllable Image StylizationCode2
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
Domain Enhanced Arbitrary Image Style Transfer via Contrastive LearningCode1
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory RetrievalCode1
One-Shot Structure-Aware Stylized Image SynthesisCode1
StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual LearningCode1
Interactive Control over Temporal Consistency while Stylizing Video StreamsCode1
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film EnhancementCode1
Controlling Geometric Abstraction and Texture for Artistic ImagesCode1
Frustratingly Simple Domain Generalization via Image StylizationCode1
Learning A Low-Level Vision Generalist via Visual Task PromptCode1
WISE: Whitebox Image Stylization by Example-based LearningCode1
Content-style disentangled representation for controllable artistic image stylization and generation—0
Coherent Online Video Style Transfer—0
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator—0
AI-Driven Stylization of 3D Environments—0
Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image Encoder—0
Image Stylization: From Predefined to Personalized—0
Balanced Image Stylization with Style Matching Score—0
Distribution Aligned Multimodal and Multi-Domain Image Stylization—0
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