mlsanityData to 7 Oct 2026

The ArtBench Dataset: Benchmarking Generative Models with Artworks

arXiv 2206.11404 ↗First posted 22 Jun 2022cs.CV cs.AI cs.LGcited by 64

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Cited by 33 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We introduce ArtBench-10, the first class-balanced, high-quality, cleanly annotated, and standardized dataset for benchmarking artwork generation. It comprises 60,000 images of artwork from 10 distinctive artistic styles, with 5,000 training images and 1,000 testing images per style. ArtBench-10 has several advantages over previous artwork datasets. Firstly, it is class-balanced while most previous artwork datasets suffer from the long tail class distributions. Secondly, the images are of high quality with clean annotations. Thirdly, ArtBench-10 is created with standardized data collection, annotation, filtering, and preprocessing procedures. We provide three versions of the dataset with different resolutions (32×32, 256×256, and original image size), formatted in a way that is easy to be incorporated by popular machine learning frameworks. We also conduct extensive benchmarking experiments using representative image synthesis models with ArtBench-10 and present in-depth analysis. The dataset is available at https://github.com/liaopeiyuan/artbench under a Fair Use license.

Key facts. Cited by 64 papers in the map (data through 7 Oct 2026). Builds on 34 of its 61 references that are in the map. First posted on arXiv 22 Jun 2022.

Builds on

34 of 61 references.

References · 34

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2020Denoising Diffusion Implicit Modelscited by 9,655
  4. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  5. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  6. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  7. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  8. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  9. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,067
  10. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,736
  11. 2014Deep Learning Face Attributes in the Wildcited by 3,679
  12. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
22 more
  1. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  2. 2016Improved Techniques for Training GANscited by 2,938
  3. 2018Large Scale GAN Training for High Fidelity Natural Image Synthesiscited by 2,609
  4. 2018Datasheets for Datasetscited by 1,371
  5. 2015LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loopcited by 1,350
  6. 2018Demystifying MMD GANscited by 1,268
  7. 2020Training Generative Adversarial Networks with Limited Datacited by 1,184
  8. 2021Alias-Free Generative Adversarial Networkscited by 1,181
  9. 2019Improved Precision and Recall Metric for Assessing Generative Modelscited by 925
  10. 2022Pseudo Numerical Methods for Diffusion Models on Manifoldscited by 695
  11. 2020NVAE: A Deep Hierarchical Variational Autoencodercited by 635
  12. 2022StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasetscited by 489
  13. 2020Differentiable Augmentation for Data-Efficient GAN Trainingcited by 361
  14. 2021Projected GANs Converge Fastercited by 204
  15. 2019Consistency Regularization for Generative Adversarial Networkscited by 134
  16. 2018How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrievalcited by 73
  17. 2013Recognizing Image Stylecited by 64
  18. 2021Rebooting ACGAN: Auxiliary Classifier GANs with Stable Trainingcited by 57
  19. 2017BAM! The Behance Artistic Media Dataset for Recognition Beyond Photographycited by 43
  20. 2022The Met Dataset: Instance-level Recognition for Artworkscited by 40
  21. 2020End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networkscited by 18
  22. 2017ArtGAN: Artwork Synthesis with Conditional Categorical GANscited by 17

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 6; 2024: 22; 2025: 18; 2026: 16.

64 papers.

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  1. 2023Text-to-image Diffusion Models in Generative AI: A Surveycited by 264
  2. 2022Lossy Image Compression with Conditional Diffusion Modelscited by 165
  3. 2024Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fastcited by 149
  4. 2023DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuningcited by 82
  5. 2023Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenescited by 68
  6. 2022Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Modelscited by 63
  7. 2024Dynamic Diffusion Transformercited by 60
  8. 2023Intriguing Properties of Data Attribution on Diffusion Modelscited by 47
  9. 2024Influence Functions for Scalable Data Attribution in Diffusion Modelscited by 31
  10. 2025OmniStyle: Filtering High Quality Style Transfer Data at Scalecited by 30
  11. 2024GalleryGPT: Analyzing Paintings with Large Multimodal Modelscited by 28
  12. 2025BlenderGym: Benchmarking Foundational Model Systems for Graphics Editingcited by 27
38 more
  1. 2024Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertaintycited by 23
  2. 2024A Practitioner's Guide to Continual Multimodal Pretrainingcited by 22
  3. 2024Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Modelscited by 19
  4. 2023DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customizationcited by 18
  5. 2024Diffusion-Based Visual Art Creation: A Survey and New Perspectivescited by 17
  6. 2025Latent Implicit Visual Reasoningcited by 16
  7. 2025Multimodal LLMs Can Reason about Aesthetics in Zero-Shotcited by 14
  8. 2024Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimationcited by 13
  9. 2024Diffusion Tuning: Transferring Diffusion Models via Chain of Forgettingcited by 12
  10. 2024Structure-Guided Adversarial Training of Diffusion Modelscited by 11
  11. 2024A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Modelscited by 11
  12. 2025Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Modelcited by 8
  13. 2025Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuningcited by 8
  14. 2024Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Modelscited by 7
  15. 2024A LoRA is Worth a Thousand Picturescited by 7
  16. 2025Safe and Reliable Diffusion Models via Subspace Projectioncited by 7
  17. 2023Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art Historycited by 6
  18. 2025SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generationcited by 6
  19. 2025ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Modelscited by 5
  20. 2024An Efficient Framework for Crediting Data Contributors of Diffusion Modelscited by 4
  21. 2024Anonymity Unveiled: A Practical Framework for Auditing Data Use in Deep Learning Modelscited by 4
  22. 2024Efficient Training of Large Vision Models via Advanced Automated Progressive Learningcited by 4
  23. 2025HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?cited by 3
  24. 2025Learning to Weight Parameters for Training Data Attributioncited by 3
  25. 2026MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judgecited by 3
  26. 2026Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothingcited by 3
  27. 2024MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlationscited by 2
  28. 2025Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Modelscited by 2
  29. 2024Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classificationcited by 1
  30. 2024fruit-SALAD: A Style Aligned Artwork Dataset to reveal similarity perception in image embeddingscited by 1
  31. 2024Ablation Based Counterfactualscited by 1
  32. 2024CEGI: Measuring the trade-off between efficiency and carbon emissions for SLMs and VLMscited by 1
  33. 2025DyDiT++: Diffusion Transformers with Timestep and Spatial Dynamics for Efficient Visual Generationcited by 1
  34. 2025Insert In Style: A Zero-Shot Generative Framework for Harmonious Cross-Domain Object Compositioncited by 1
  35. 2025LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfercited by 1
  36. 2026Training-free Task Classification for Multi-Task Model Mergingcited by 1
  37. 2025DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Mapscited by 0
  38. 2025Mitigating the Noise Shift for Denoising Generative Models via Noise Awareness Guidancecited by 0

50 most cited of 64 All 64 (JSON)