StyleBabel: Artistic Style Tagging and Captioning
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Abstract (arXiv)
We present StyleBabel, a unique open access dataset of natural language captions and free-form tags describing the artistic style of over 135K digital artworks, collected via a novel participatory method from experts studying at specialist art and design schools. StyleBabel was collected via an iterative method, inspired by `Grounded Theory': a qualitative approach that enables annotation while co-evolving a shared language for fine-grained artistic style attribute description. We demonstrate several downstream tasks for StyleBabel, adapting the recent ALADIN architecture for fine-grained style similarity, to train cross-modal embeddings for: 1) free-form tag generation; 2) natural language description of artistic style; 3) fine-grained text search of style. To do so, we extend ALADIN with recent advances in Visual Transformer (ViT) and cross-modal representation learning, achieving a state of the art accuracy in fine-grained style retrieval.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 34 of its 57 references that are in the map. First posted on arXiv 10 Mar 2022.
Builds on
34 of 57 references.
References · 34
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22 more
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- 2019Unified Vision-Language Pre-Training for Image Captioning and VQAcited by 494
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- 2021Bottleneck Transformers for Visual Recognitioncited by 364
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Citing papers per year: 2022: 1; 2023: 5; 2024: 3; 2025: 1; 2026: 2.
12 papers.
- 2023UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Trainingcited by 14
- 2022HyperNST: Hyper-Networks for Neural Style Transfercited by 7
- 2024A LoRA is Worth a Thousand Picturescited by 7
- 2023PARASOL: Parametric Style Control for Diffusion Image Synthesiscited by 5
- 2023DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfercited by 5
- 2023NeAT: Neural Artistic Tracing for Beautiful Style Transfercited by 4
- 2024Training A Small Emotional Vision Language Model for Visual Art Comprehensioncited by 4
- 2023ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfercited by 3
- 2025Online In-Context Distillation for Low-Resource Vision Language Modelscited by 2
- 2024Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy, Trends and Metrics Analysiscited by 0
- 2026M-ArtAgent: Evidence-Based Multimodal Agent for Implicit Art Influence Discoverycited by 0
- 2026MegaStyle++: Scaling Image Style Space through Hierarchical Style Definitioncited by 0
- 2026MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition1 Sep 2026
- 2026M-ArtAgent: Evidence-Based Multimodal Agent for Implicit Art Influence Discovery8 Apr 2026
- 2025Online In-Context Distillation for Low-Resource Vision Language Models20 Oct 2025
- 2024A LoRA is Worth a Thousand Pictures16 Dec 2024
- 2024Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy, Trends and Metrics Analysis9 Aug 2024
- 2024Training A Small Emotional Vision Language Model for Visual Art Comprehension17 Mar 2024
- 2023DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer9 Jul 2023
- 2023ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfer12 Apr 2023
- 2023NeAT: Neural Artistic Tracing for Beautiful Style Transfer11 Apr 2023
- 2023PARASOL: Parametric Style Control for Diffusion Image Synthesis11 Mar 2023
- 2023UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training14 Feb 2023
- 2022HyperNST: Hyper-Networks for Neural Style Transfer9 Aug 2022