mlsanityData to 7 Oct 2026

Arbitrary Style Transfer with Style-Attentional Networks

arXiv 1812.02342 ↗First posted 6 Dec 2018cs.CVcited by 197

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Cited by 30 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Arbitrary style transfer aims to synthesize a content image with the style of an image to create a third image that has never been seen before. Recent arbitrary style transfer algorithms find it challenging to balance the content structure and the style patterns. Moreover, simultaneously maintaining the global and local style patterns is difficult due to the patch-based mechanism. In this paper, we introduce a novel style-attentional network (SANet) that efficiently and flexibly integrates the local style patterns according to the semantic spatial distribution of the content image. A new identity loss function and multi-level feature embeddings enable our SANet and decoder to preserve the content structure as much as possible while enriching the style patterns. Experimental results demonstrate that our algorithm synthesizes stylized images in real-time that are higher in quality than those produced by the state-of-the-art algorithms.

Key facts. Cited by 197 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Dec 2018.

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Citing papers per year: 2021: 27; 2022: 45; 2023: 53; 2024: 32; 2025: 26; 2026: 14.

197 papers.

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  1. 2022Inversion-Based Style Transfer with Diffusion Modelscited by 290
  2. 2021CLIPstyler: Image Style Transfer with a Single Text Conditioncited by 203
  3. 2023ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAscited by 194
  4. 2023Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfercited by 194
  5. 2021StyTr2: Image Style Transfer with Transformerscited by 186
  6. 2021AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfercited by 178
  7. 2021StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generatorscited by 164
  8. 2023StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Modelscited by 154
  9. 2022Diffusion-based Image Translation using Disentangled Style and Content Representationcited by 148
  10. 2022ARF: Artistic Radiance Fieldscited by 147
  11. 2023Cross-Image Attention for Zero-Shot Appearance Transfercited by 135
  12. 2022Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learningcited by 93
38 more
  1. 2023StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fieldscited by 79
  2. 2024DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representationscited by 68
  3. 2022Motion Puzzle: Arbitrary Motion Style Transfer by Body Partcited by 64
  4. 2023A Comprehensive Survey on Segment Anything Model for Vision and Beyondcited by 64
  5. 2021Making Images Real Again: A Comprehensive Survey on Deep Image Compositioncited by 63
  6. 2024Visual Style Prompting with Swapping Self-Attentioncited by 62
  7. 2021Paint Transformer: Feed Forward Neural Painting with Stroke Predictioncited by 61
  8. 2021JoJoGAN: One Shot Face Stylizationcited by 49
  9. 2022ArtFID: Quantitative Evaluation of Neural Style Transfercited by 49
  10. 2021Rethinking and Improving the Robustness of Image Style Transfercited by 48
  11. 2023Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Methodcited by 48
  12. 2021BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generationcited by 47
  13. 2024UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Modelscited by 47
  14. 2022CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfercited by 46
  15. 20213D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Imagecited by 45
  16. 2021Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfercited by 41
  17. 2021Domain-Aware Universal Style Transfercited by 40
  18. 2021Language-Driven Image Style Transfercited by 36
  19. 2023ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bankcited by 36
  20. 2023AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networkscited by 34
  21. 2023PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactionscited by 34
  22. 2023DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Modelscited by 33
  23. 2022One-Shot Adaptation of GAN in Just One CLIPcited by 31
  24. 2023General Image-to-Image Translation with One-Shot Image Guidancecited by 31
  25. 2021Style-Aware Normalized Loss for Improving Arbitrary Style Transfercited by 30
  26. 2021WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentationcited by 25
  27. 2022SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonizationcited by 24
  28. 2024UnZipLoRA: Separating Content and Style from a Single Imagecited by 24
  29. 2022Neural Neighbor Style Transfercited by 23
  30. 2024StylizedGS: Controllable Stylization for 3D Gaussian Splattingcited by 23
  31. 2025StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfercited by 23
  32. 2022AesUST: Towards Aesthetic-Enhanced Universal Style Transfercited by 21
  33. 2024SGSST: Scaling Gaussian Splatting StyleTransfercited by 20
  34. 2022MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfercited by 19
  35. 2021Variational AutoEncoder for Reference based Image Super-Resolutioncited by 18
  36. 2022QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelitycited by 18
  37. 2023Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaboratecited by 17
  38. 2023Z^*: Zero-shot Style Transfer via Attention Rearrangementcited by 17

50 most cited of 197 All 197 (JSON)