mlsanityData to 7 Oct 2026

Recognizing Image Style

arXiv 1311.3715 ↗First posted 15 Nov 2013cs.CVcited by 64

Not on the map. Why?

Abstract (arXiv)

The style of an image plays a significant role in how it is viewed, but style has received little attention in computer vision research. We describe an approach to predicting style of images, and perform a thorough evaluation of different image features for these tasks. We find that features learned in a multi-layer network generally perform best -- even when trained with object class (not style) labels. Our large-scale learning methods results in the best published performance on an existing dataset of aesthetic ratings and photographic style annotations. We present two novel datasets: 80K Flickr photographs annotated with 20 curated style labels, and 85K paintings annotated with 25 style/genre labels. Our approach shows excellent classification performance on both datasets. We use the learned classifiers to extend traditional tag-based image search to consider stylistic constraints, and demonstrate cross-dataset understanding of style.

Key facts. Cited by 64 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Nov 2013.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 15; 2022: 9; 2023: 14; 2024: 10; 2025: 7; 2026: 9.

64 papers.

Sort:

By area:

  1. 2023StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Modelscited by 154
  2. 2022ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Modelscited by 141
  3. 2024Measuring Style Similarity in Diffusion Modelscited by 106
  4. 2023Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenescited by 68
  5. 2022The ArtBench Dataset: Benchmarking Generative Models with Artworkscited by 64
  6. 2023VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretrainingcited by 63
  7. 2021Understanding and Creating Art with AI: Review and Outlookcited by 60
  8. 2022The Met Dataset: Instance-level Recognition for Artworkscited by 40
  9. 2023ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priorscited by 40
  10. 2024UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmarkcited by 39
  11. 2021DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfercited by 38
  12. 2021ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similaritycited by 34
38 more
  1. 2021Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generationcited by 30
  2. 2023CAP-VSTNet: Content Affinity Preserved Versatile Style Transfercited by 24
  3. 2022Semantic Segmentation in Art Paintingscited by 23
  4. 2025CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughnesscited by 23
  5. 2023Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysiscited by 18
  6. 2022StyleBabel: Artistic Style Tagging and Captioningcited by 12
  7. 2023Learning Dynamic Style Kernels for Artistic Style Transfercited by 12
  8. 2024A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Modelscited by 11
  9. 2021Composition and Style Attributes Guided Image Aesthetic Assessmentcited by 9
  10. 2024Have Large Vision-Language Models Mastered Art History?cited by 9
  11. 2024A LoRA is Worth a Thousand Picturescited by 7
  12. 2022Semi-supervised Human Pose Estimation in Art-historical Imagescited by 6
  13. 2022Modeling the Lighting in Scenes as Style for Auto White-Balance Correctioncited by 6
  14. 2022Image Aesthetics Assessment Using Graph Attention Networkcited by 5
  15. 2025ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrievalcited by 5
  16. 2025SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Modelscited by 5
  17. 2021A deep learning approach to clustering visual artscited by 4
  18. 2023NeAT: Neural Artistic Tracing for Beautiful Style Transfercited by 4
  19. 2023InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfercited by 4
  20. 2024Evaluation in Neural Style Transfer: A Reviewcited by 4
  21. 2024Deep Ensemble Art Style Recognitioncited by 4
  22. 2021Learning Personal Style from Few Examplescited by 3
  23. 2023ITstyler: Image-optimized Text-based Style Transfercited by 3
  24. 2023ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfercited by 3
  25. 2024Style-based Clustering of Visual Artworks and the Play of Neural Style-Representationscited by 3
  26. 2026Does AI See like Art Historians? Interpreting How Vision Language Models Recognize Artistic Stylecited by 3
  27. 2021Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learningcited by 2
  28. 2021Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Stylescited by 2
  29. 2021Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Votingcited by 2
  30. 2021Neural Image Beauty Predictor Based on Bradley-Terry Modelcited by 2
  31. 2023VN-Solver: Vision-based Neural Solver for Combinatorial Optimization over Graphscited by 2
  32. 2023TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfercited by 2
  33. 2024Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Printscited by 2
  34. 2021Quantitative analysis of visual representation of sign elements in COVID-19 contextcited by 1
  35. 2025Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Imagescited by 1
  36. 2025Identifying Prompted Artist Names from Generated Imagescited by 1
  37. 2025LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfercited by 1
  38. 2026A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understandingcited by 1

50 most cited of 64 All 64 (JSON)