mlsanityData to 7 Oct 2026

Exploring the structure of a real-time, arbitrary neural artistic stylization network

arXiv 1705.06830 ↗First posted 18 May 2017cs.CVcited by 89

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Abstract (arXiv)

In this paper, we present a method which combines the flexibility of the neural algorithm of artistic style with the speed of fast style transfer networks to allow real-time stylization using any content/style image pair. We build upon recent work leveraging conditional instance normalization for multi-style transfer networks by learning to predict the conditional instance normalization parameters directly from a style image. The model is successfully trained on a corpus of roughly 80,000 paintings and is able to generalize to paintings previously unobserved. We demonstrate that the learned embedding space is smooth and contains a rich structure and organizes semantic information associated with paintings in an entirely unsupervised manner.

Key facts. Cited by 89 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 May 2017.

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Citing papers per year: 2021: 24; 2022: 23; 2023: 22; 2024: 13; 2025: 5; 2026: 2.

89 papers.

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  1. 2021AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfercited by 178
  2. 2024AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Taskscited by 151
  3. 2021UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Modelscited by 133
  4. 2021DriveGAN: Towards a Controllable High-Quality Neural Simulationcited by 125
  5. 2022EnvEdit: Environment Editing for Vision-and-Language Navigationcited by 83
  6. 2024Instruct-Imagen: Image Generation with Multi-modal Instructioncited by 65
  7. 2021Editing a classifier by rewriting its prediction rulescited by 64
  8. 2021SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gapcited by 57
  9. 2021Rethinking and Improving the Robustness of Image Style Transfercited by 48
  10. 20213D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Imagecited by 45
  11. 2021Self-supervised Monocular Depth Estimation for All Day Images using Domain Separationcited by 44
  12. 2022Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gapcited by 44
38 more
  1. 2022UV Volumes for Real-time Rendering of Editable Free-view Human Performancecited by 43
  2. 2022Federated Domain Generalization for Image Recognition via Cross-Client Style Transfercited by 40
  3. 2023ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptationcited by 39
  4. 2021Meta-Learning Dynamics Forecasting Using Task Inferencecited by 37
  5. 2022TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editingcited by 36
  6. 2021ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similaritycited by 34
  7. 2023Progressive Random Convolutions for Single Domain Generalizationcited by 33
  8. 2021TryOnGAN: Body-Aware Try-On via Layered Interpolationcited by 31
  9. 2021Style-Aware Normalized Loss for Improving Arbitrary Style Transfercited by 30
  10. 2024Boosting Neural Representations for Videos with a Conditional Decodercited by 29
  11. 2021Styleformer: Transformer based Generative Adversarial Networks with Style Vectorcited by 27
  12. 2022FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulationcited by 24
  13. 2023Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaboratecited by 17
  14. 2021Adaptive Denoising via GainTuningcited by 16
  15. 2023DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Datacited by 15
  16. 2021An overview of mixing augmentation methods and augmentation strategiescited by 14
  17. 20223D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesiscited by 13
  18. 2022StyleBabel: Artistic Style Tagging and Captioningcited by 12
  19. 2022PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Modelscited by 11
  20. 2023Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedbackcited by 10
  21. 2021Instagram Filter Removal on Fashionable Imagescited by 8
  22. 2023Benchmarking Robustness to Adversarial Image Obfuscationscited by 8
  23. 2023Edit at your own risk: evaluating the robustness of edited models to distribution shiftscited by 8
  24. 2023Learning Disentangled Prompts for Compositional Image Synthesiscited by 8
  25. 2021TS-Net: OCR Trained to Switch Between Text Transcription Stylescited by 7
  26. 2024GRANOLA: Adaptive Normalization for Graph Neural Networkscited by 7
  27. 2021Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesiscited by 6
  28. 2022Quality Evaluation of Arbitrary Style Transfer: Subjective Study and Objective Metriccited by 6
  29. 2022FastCLIPstyler: Optimisation-free Text-based Image Style Transfer Using Style Representationscited by 6
  30. 2022Modeling the Lighting in Scenes as Style for Auto White-Balance Correctioncited by 6
  31. 2023Towards Writing Style Adaptation in Handwriting Recognitioncited by 6
  32. 2023Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs Towards Robot-assisted Intubationcited by 6
  33. 2024Bridging the Domain Gap for Flight-Ready Spaceborne Visioncited by 6
  34. 2021SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generationcited by 5
  35. 2021Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representationscited by 5
  36. 2022Patch-wise Contrastive Style Learning for Instagram Filter Removalcited by 5
  37. 2022Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imagingcited by 5
  38. 2023Substance or Style: What Does Your Image Embedding Know?cited by 5

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