mlsanityData to 7 Oct 2026

StyleShot: A Snapshot on Any Style

arXiv 2407.01414 ↗First posted 1 Jul 2024cs.CVcited by 60

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Cited by 20 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

In this paper, we show that, a good style representation is crucial and sufficient for generalized style transfer without test-time tuning. We achieve this through constructing a style-aware encoder and a well-organized style dataset called StyleGallery. With dedicated design for style learning, this style-aware encoder is trained to extract expressive style representation with decoupling training strategy, and StyleGallery enables the generalization ability. We further employ a content-fusion encoder to enhance image-driven style transfer. We highlight that, our approach, named StyleShot, is simple yet effective in mimicking various desired styles, i.e., 3D, flat, abstract or even fine-grained styles, without test-time tuning. Rigorous experiments validate that, StyleShot achieves superior performance across a wide range of styles compared to existing state-of-the-art methods. The project page is available at: https://styleshot.github.io/.

Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). Builds on 59 of its 82 references that are in the map. First posted on arXiv 1 Jul 2024.

Builds on

59 of 82 references.

References · 59

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  4. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  5. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  6. 2020Denoising Diffusion Implicit Modelscited by 9,655
  7. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  8. 2021Masked Autoencoders Are Scalable Vision Learnerscited by 7,339
  9. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  10. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  11. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  12. 2022Classifier-Free Diffusion Guidancecited by 5,717
38 more
  1. 2022Generative Adversarial Networkscited by 5,603
  2. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  3. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
  4. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,736
  5. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  6. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  7. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  8. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
  9. 2017Improved Training of Wasserstein GANscited by 2,223
  10. 2014Conditional Generative Adversarial Netscited by 2,152
  11. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,048
  12. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
  13. 2023IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Modelscited by 1,439
  14. 2022Diffusion Models in Vision: A Surveycited by 1,008
  15. 2018Multimodal Unsupervised Image-to-Image Translationcited by 795
  16. 2022Pseudo Numerical Methods for Diffusion Models on Manifoldscited by 695
  17. 2017Unsupervised Image-to-Image Translation Networkscited by 602
  18. 2015Holistically-Nested Edge Detectioncited by 590
  19. 2024InstantID: Zero-shot Identity-Preserving Generation in Secondscited by 431
  20. 2016A Learned Representation For Artistic Stylecited by 340
  21. 2022Inversion-Based Style Transfer with Diffusion Modelscited by 290
  22. 2023P+: Extended Textual Conditioning in Text-to-Image Generationcited by 242
  23. 2023Style Aligned Image Generation via Shared Attentioncited by 214
  24. 2016Unrolled Generative Adversarial Networkscited by 208
  25. 2023JourneyDB: A Benchmark for Generative Image Understandingcited by 203
  26. 2023Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfercited by 194
  27. 2021StyTr2: Image Style Transfer with Transformerscited by 186
  28. 2021AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfercited by 178
  29. 2016Texture Networks: Feed-forward Synthesis of Textures and Stylized Imagescited by 173
  30. 2024InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generationcited by 166
  31. 2023StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Modelscited by 154
  32. 2022Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalizationcited by 122
  33. 2022Uncovering the Disentanglement Capability in Text-to-Image Diffusion Modelscited by 116
  34. 2022Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learningcited by 93
  35. 2024DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representationscited by 68
  36. 2023Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfercited by 59
  37. 2023RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Modelcited by 47
  38. 2020DE-GAN: A Conditional Generative Adversarial Network for Document Enhancementcited by 44

50 most cited of 59 All 59 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 5; 2025: 28; 2026: 27.

60 papers.

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  1. 2024OmniGen: Unified Image Generationcited by 388
  2. 2025OmniGen2: Towards Instruction-Aligned Multimodal Generationcited by 241
  3. 2024CSGO: Content-Style Composition in Text-to-Image Generationcited by 76
  4. 2025OmniStyle: Filtering High Quality Style Transfer Data at Scalecited by 30
  5. 2025USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learningcited by 26
  6. 2025Multimodal LLMs Can Reason about Aesthetics in Zero-Shotcited by 14
  7. 2025Towards Enhanced Image Generation Via Multi-modal Chain of Thought in Unified Generative Modelscited by 14
  8. 2026Explore with Long-term Memory: A Benchmark and Multimodal LLM-based Reinforcement Learning Framework for Embodied Explorationcited by 13
  9. 2025FaceShot: Bring Any Character into Lifecited by 12
  10. 2025CharacterShot: Controllable and Consistent 4D Character Animationcited by 9
  11. 2024DiffArtist: Towards Structure and Appearance Controllable Image Stylizationcited by 6
  12. 2025StyleMe3D: Stylization with Disentangled Priors by Multiple Encoders on 3D Gaussianscited by 6
38 more
  1. 2026TeleStyle: Content-Preserving Style Transfer in Images and Videoscited by 5
  2. 2025ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframingcited by 4
  3. 2025StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generationcited by 4
  4. 2026MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mappingcited by 4
  5. 2024From Noise to Nuance: Advances in Deep Generative Image Modelscited by 3
  6. 2025Superpowering Open-Vocabulary Object Detectors for X-ray Visioncited by 3
  7. 2025SPAST: Arbitrary Style Transfer with Style Priors via Pre-trained Large-scale Modelcited by 3
  8. 2026Tuning-free Visual Effect Transfer across Videoscited by 3
  9. 2026CleanStyle: Plug-and-Play Style Conditioning Purification for Text-to-Image Stylizationcited by 3
  10. 2025Inversion-Free Video Style Transfer with Trajectory Reset Attention Control and Content-Style Bridgingcited by 2
  11. 2025Fine-grained Image Retrieval via Dual-Vision Adaptationcited by 2
  12. 2025TransLight: Image-Guided Customized Lighting Control with Generative Decouplingcited by 2
  13. 2025MimicParts: Part-aware Style Injection for Speech-Driven 3D Motion Generationcited by 2
  14. 2026StyleGallery: Training-free and Semantic-aware Personalized Style Transfer from Arbitrary Image Referencescited by 2
  15. 2026Semi-supervised Latent Disentangled Diffusion Model for Textile Pattern Generationcited by 2
  16. 2026Scale-Separated Conditioning for Style-Encoder-Free Diffusion Stylizationcited by 2
  17. 2025ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalizationcited by 1
  18. 2025IlluSign: Illustrating Sign Language Videos by Leveraging the Attention Mechanismcited by 1
  19. 2025ConsiStyle: Style Diversity in Training-Free Consistent T2I Generationcited by 1
  20. 2025OmniStyle2: Learning to Stylize by Learning to Destylizecited by 1
  21. 2025LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfercited by 1
  22. 2026DreamVAR: Taming Reinforced Visual Autoregressive Model for High-Fidelity Subject-Driven Image Generationcited by 1
  23. 2026Agentic Planning with Reasoning for Image Styling via Offline RLcited by 1
  24. 2026Mixture of Style Experts for Diverse Image Stylizationcited by 1
  25. 2026Compressing Image Style Training into a Single Model Forwardcited by 1
  26. 2024MagicStyle: Portrait Stylization Based on Reference Imagecited by 0
  27. 2025Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Modelscited by 0
  28. 2025ICAS: IP Adapter and ControlNet-based Attention Structure for Multi-Subject Style Transfer Optimizationcited by 0
  29. 2025Break Stylistic Sophon: Are We Really Meant to Confine the Imagination in Style Transfer?cited by 0
  30. 2025Make Your MoVe: Make Your 3D Contents by Adapting Multi-View Diffusion Models to External Editingcited by 0
  31. 2025SPG: Style-Prompting Guidance for Style-Specific Content Creationcited by 0
  32. 2025NSYNC: Negative Synthetic Image Generation for Contrastive Training to Improve Stylized Text-To-Image Translationcited by 0
  33. 2025StyleFusion360: View-Consistent Head Stylization via Adaptive Style Modulationcited by 0
  34. 2026Sissi: Zero-shot Style-guided Image Synthesis via Semantic-style Integrationcited by 0
  35. 2026ProMist-5K: A Comprehensive Dataset for Digital Emulation of Cinematic Pro-Mist Filter Effectscited by 0
  36. 2026Visual Personalization Turing Testcited by 0
  37. 2026World2Minecraft: Occupancy-Driven Simulated Scenes Constructioncited by 0
  38. 2026Chameleon: Style-Content Disentangled Framework for Cross-Domain Object Compositingcited by 0

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