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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 1–50 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
DiffArtist: Towards Structure and Appearance Controllable Image StylizationCode2
JoJoGAN: One Shot Face StylizationCode2
EDICT: Exact Diffusion Inversion via Coupled TransformationsCode2
StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual LearningCode1
One-Shot Structure-Aware Stylized Image SynthesisCode1
Learning A Low-Level Vision Generalist via Visual Task PromptCode1
Interactive Control over Temporal Consistency while Stylizing Video StreamsCode1
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory RetrievalCode1
Controlling Geometric Abstraction and Texture for Artistic ImagesCode1
Frustratingly Simple Domain Generalization via Image StylizationCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
Domain Enhanced Arbitrary Image Style Transfer via Contrastive LearningCode1
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film EnhancementCode1
WISE: Whitebox Image Stylization by Example-based LearningCode1
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand SegmentationCode0
A Closed-form Solution to Photorealistic Image StylizationCode0
APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANsCode0
A Style-Aware Content Loss for Real-time HD Style TransferCode0
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image StylizationCode0
Image Super-Resolution by Neural Texture TransferCode0
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture SynthesisCode0
Instance Normalization: The Missing Ingredient for Fast StylizationCode0
Instant Photorealistic Neural Radiance Fields StylizationCode0
Multiscale style transfer based on a Laplacian pyramid for traditional Chinese paintingCode0
Structure-Aware Stylized Image Synthesis for Robust Medical Image SegmentationCode0
Stylization-Based Architecture for Fast Deep Exemplar ColorizationCode0
TileGAN: Synthesis of Large-Scale Non-Homogeneous TexturesCode0
Context-Aware Text-Based Binary Image Stylization and Synthesis—0
The Role of Text-to-Image Models in Advanced Style Transfer Applications: A Case Study with DALL-E 3—0
Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image Encoder—0
ToonifyGB: StyleGAN-based Gaussian Blendshapes for 3D Stylized Head Avatars—0
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
Learning Graph Neural Networks for Image Style Transfer—0
Learning Visual Styles from Audio-Visual Associations—0
LISA: Localized Image Stylization with Audio via Implicit Neural Representation—0
MagicStyle: Portrait Stylization Based on Reference Image—0
Multi-Attribute Guided Painting Generation—0
Touch and Go: Learning from Human-Collected Vision and Touch—0
MultiStyleGAN: Multiple One-shot Image Stylizations using a Single GAN—0
Balanced Image Stylization with Style Matching Score—0
Automatic Image Stylization Using Deep Fully Convolutional Networks—0
AI-Driven Stylization of 3D Environments—0
Realization RGBD Image Stylization—0
Aesthetics of Neural Network Art—0
Reference-Conditioned Super-Resolution by Neural Texture Transfer—0
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