ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation
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Abstract (arXiv)
This work introduces ArtAdapter, a transformative text-to-image (T2I) style transfer framework that transcends traditional limitations of color, brushstrokes, and object shape, capturing high-level style elements such as composition and distinctive artistic expression. The integration of a multi-level style encoder with our proposed explicit adaptation mechanism enables ArtAdapter to achieve unprecedented fidelity in style transfer, ensuring close alignment with textual descriptions. Additionally, the incorporation of an Auxiliary Content Adapter (ACA) effectively separates content from style, alleviating the borrowing of content from style references. Moreover, our novel fast finetuning approach could further enhance zero-shot style representation while mitigating the risk of overfitting. Comprehensive evaluations confirm that ArtAdapter surpasses current state-of-the-art methods.
Key facts. Cited by 40 papers in the map (data through 14 Oct 2026). Builds on 41 of its 51 references that are in the map. First posted on arXiv 4 Dec 2023.
Builds on
41 of 51 references.
References · 41
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- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
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- 2022Classifier-Free Diffusion Guidancecited by 5,847
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- 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
- 2021Zero-Shot Text-to-Image Generationcited by 4,288
- 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,152
- 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
- 2020Taming Transformers for High-Resolution Image Synthesiscited by 3,253
- 2022Locating and Editing Factual Associations in GPTcited by 2,691
- 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,245
- 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 2,010
- 2023IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Modelscited by 1,464
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- 2023FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attentioncited by 313
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- 2022Inversion-Based Style Transfer with Diffusion Modelscited by 291
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- 2023Key-Locked Rank One Editing for Text-to-Image Personalizationcited by 194
- 2021StyTr2: Image Style Transfer with Transformerscited by 187
- 2021AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfercited by 178
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- 2023Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Modelscited by 117
- 2021ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flowscited by 113
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- 2023Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Modelscited by 62
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Citing papers per year: 2024: 17; 2025: 17; 2026: 6.
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- 2024Controllable Generation with Text-to-Image Diffusion Models: A Surveycited by 83
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- 2025Control and Realism: Best of Both Worlds in Layout-to-Image without Training18 Jun 2025
- 2025Break Stylistic Sophon: Are We Really Meant to Confine the Imagination in Style Transfer?18 Jun 2025
- 2025Training Free Stylized Abstraction28 May 2025
- 2025Distribution-Conditional Generation: From Class Distribution to Creative Generation6 May 2025
- 2025ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer13 Mar 2025
- 2025SCSA: A Plug-and-Play Semantic Continuous-Sparse Attention for Arbitrary Semantic Style Transfer6 Mar 2025
- 2025Personalized Image Generation with Deep Generative Models: A Decade Survey18 Feb 2025
- 2025ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing3 Jan 2025
- 2024Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generation25 Dec 2024
- 2024Single Trajectory Distillation for Accelerating Image and Video Style Transfer25 Dec 2024
- 2024WikiStyle+: A Multimodal Approach to Content-Style Representation Disentanglement for Artistic Image Stylization19 Dec 2024
- 2024USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks18 Dec 2024
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- 2024FonTS: Text Rendering with Typography and Style Controls28 Nov 2024
- 2024Safety Without Semantic Disruptions: Editing-free Safe Image Generation via Context-preserving Dual Latent Reconstruction21 Nov 2024
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- 2024Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation31 Oct 2024
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- 2026QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing13 Oct 2026
- 2026Sissi: Zero-shot Style-guided Image Synthesis via Semantic-style Integration10 Jan 2026
- 2025CameraMaster: Unified Camera Semantic-Parameter Control for Photography Retouching26 Nov 2025
- 2025Inversion-Free Style Transfer with Dual Rectified Flows26 Nov 2025
- 2025Coffee: Controllable Diffusion Fine-tuning18 Nov 2025
- 2025SafeCtrl: Region-Based Safety Control for Text-to-Image Diffusion via Detect-Then-Suppress16 Aug 2025
- 2025Distribution-Conditional Generation: From Class Distribution to Creative Generation6 May 2025
- 2025ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing3 Jan 2025
- 2024Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generation25 Dec 2024
- 2024Single Trajectory Distillation for Accelerating Image and Video Style Transfer25 Dec 2024
- 2024WikiStyle+: A Multimodal Approach to Content-Style Representation Disentanglement for Artistic Image Stylization19 Dec 2024
- 2024Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation31 Oct 2024
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- 2024StyleMaster: Stylize Your Video with Artistic Generation and Translationcited by 47
- 2024FonTS: Text Rendering with Typography and Style Controlscited by 40
- 2024Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmarkcited by 23
- 2025Personalized Image Generation with Deep Generative Models: A Decade Surveycited by 20
- 2025ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfercited by 9
- 2025SplitFlux: Learning to Decouple Content and Style from a Single Imagecited by 5
- 2025SCSA: A Plug-and-Play Semantic Continuous-Sparse Attention for Arbitrary Semantic Style Transfercited by 4
- 2025Control and Realism: Best of Both Worlds in Layout-to-Image without Trainingcited by 3
- 2026EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generationcited by 3
- 2025Category-Aware 3D Object Composition with Disentangled Texture and Shape Multi-view Diffusioncited by 2
- 2024PixelShuffler: A Simple Image Translation Through Pixel Rearrangementcited by 1
- 2024DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuningcited by 1
12 most cited of 21 All 21 (JSON)
- 2026RankT2I: A Submodular Framework for Discovering Interpretable and Diverse Semantics in Text-to-Image Models14 Aug 2026
- 2026EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation11 Jul 2026
- 2026GeM-NR: Geometry-Aware Multi-View Editing for Nonrigid Scene Changes3 Jun 2026
- 2026Adaptive Subspace Projection for Generative Personalization8 May 2026
- 2025SplitFlux: Learning to Decouple Content and Style from a Single Image19 Nov 2025
- 2025Image Generation Based on Image Style Extraction1 Oct 2025
- 2025Category-Aware 3D Object Composition with Disentangled Texture and Shape Multi-view Diffusion2 Sep 2025
- 2025Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment27 Jun 2025
- 2025Control and Realism: Best of Both Worlds in Layout-to-Image without Training18 Jun 2025
- 2025Break Stylistic Sophon: Are We Really Meant to Confine the Imagination in Style Transfer?18 Jun 2025
- 2025Training Free Stylized Abstraction28 May 2025
- 2025ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer13 Mar 2025
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