mlsanityData to 7 Oct 2026

ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding

arXiv 2507.14533 ↗First posted 19 Jul 2025cs.CVcited by 36

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Abstract (arXiv)

The rapid advancement of educational applications, artistic creation, and AI-generated content (AIGC) technologies has substantially increased practical requirements for comprehensive Image Aesthetics Assessment (IAA), particularly demanding methods capable of delivering both quantitative scoring and professional understanding. Multimodal Large Language Model (MLLM)-based IAA methods demonstrate stronger perceptual and generalization capabilities compared to traditional approaches, yet they suffer from modality bias (score-only or text-only) and lack fine-grained attribute decomposition, thereby failing to support further aesthetic assessment. In this paper, we present:(1) ArtiMuse, an innovative MLLM-based IAA model with Joint Scoring and Expert-Level Understanding capabilities; (2) ArtiMuse-10K, the first expert-curated image aesthetic dataset comprising 10,000 images spanning 5 main categories and 15 subcategories, each annotated by professional experts with 8-dimensional attributes analysis and a holistic score. Both the model and dataset will be made public to advance the field.

Key facts. Cited by 36 papers in the map (data through 7 Oct 2026). Builds on 26 of its 62 references that are in the map. First posted on arXiv 19 Jul 2025.

Builds on

26 of 62 references.

References · 26

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2023GPT-4 Technical Reportcited by 18,132
  3. 2025Qwen2.5-VL Technical Reportcited by 5,418
  4. 2016SGDR: Stochastic Gradient Descent with Warm Restartscited by 4,993
  5. 2025InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Modelscited by 1,769
  6. 2021MUSIQ: Multi-scale Image Quality Transformercited by 1,058
  7. 2023ShareGPT4V: Improving Large Multi-Modal Models with Better Captionscited by 1,000
  8. 2023VILA: On Pre-training for Visual Language Modelscited by 686
  9. 2023mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaborationcited by 545
  10. 2023Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levelscited by 489
  11. 2019KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessmentcited by 351
  12. 2023Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Modelscited by 152
14 more
  1. 2025Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distributioncited by 139
  2. 2016Photo Aesthetics Ranking Network with Attributes and Content Adaptationcited by 122
  3. 2023Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Modelscited by 104
  4. 2021ArtEmis: Affective Language for Visual Artcited by 103
  5. 2022Personalized Image Aesthetics Assessment with Rich Attributescited by 56
  6. 2024AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perceptioncited by 53
  7. 2023Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Methodcited by 48
  8. 2024UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmarkcited by 39
  9. 2024APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Commentscited by 17
  10. 2022Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessmentcited by 13
  11. 2024GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similaritycited by 12
  12. 2025Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Modelcited by 11
  13. 2024Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customizationcited by 6
  14. 2023Impressions: Understanding Visual Semiotics and Aesthetic Impactcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 8; 2026: 28.

36 papers.

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  1. 2025UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texturecited by 19
  2. 2025Factuality Matters: When Image Generation and Editing Meet Structured Visualscited by 16
  3. 2026GEMS: Agent-Native Multimodal Generation with Memory and Skillscited by 16
  4. 2026IGenBench: Benchmarking the Reliability of Text-to-Infographic Generationcited by 14
  5. 2026LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Modelcited by 12
  6. 2026JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generationcited by 10
  7. 2025PhotoFramer: Multi-modal Image Composition Instructioncited by 8
  8. 2025I2I-Bench: A Comprehensive Benchmark Suite for Image-to-Image Editing Modelscited by 7
  9. 2025UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratioscited by 6
  10. 2025Unlocking the Essence of Beauty: Advanced Aesthetic Reasoning with Relative-Absolute Policy Optimizationcited by 5
  11. 2025CountLoop: Training-Free High-Instance Image Generation via Iterative Agent Guidancecited by 4
  12. 2026GenRouter: Unified Workflow Routing for Agentic Image Generationcited by 4
24 more
  1. 2026Venus: Benchmarking and Empowering Multimodal Large Language Models for Aesthetic Guidance and Croppingcited by 3
  2. 2026HanMoVLM: Large Vision-Language Models for Professional Artistic Painting Evaluationcited by 1
  3. 2026One Model, Two Minds: Task-Conditioned Reasoning for Unified Image Quality and Aesthetic Assessmentcited by 1
  4. 2026Self-Reasoning Agentic Framework for Narrative Product Grid-Collage Generationcited by 1
  5. 2026StableI2I: Spotting Unintended Changes in Image-to-Image Transitioncited by 1
  6. 2026PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Datasetcited by 1
  7. 2026AesFormer: Transform Everyday Photos into Beautiful Memoriescited by 1
  8. 2026DRM: Diffusion-based Reward Model With Step-wise Guidancecited by 1
  9. 2025Q-REAL: Towards Realism and Plausibility Evaluation for AI-Generated Contentcited by 0
  10. 2026PortraitCraft: A Benchmark for Portrait Composition Understanding and Generationcited by 0
  11. 2026On Semiotic-Grounded Interpretive Evaluation of Generative Artcited by 0
  12. 2026UniCSG: Unified High-Fidelity Content-Constrained Style-Driven Generation via Staged Semantic and Frequency Disentanglementcited by 0
  13. 2026Aes3D: Aesthetic Assessment in 3D Gaussian Splattingcited by 0
  14. 2026DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Modelscited by 0
  15. 2026Preferences Order, Ratings Anchor: From Fused Expert Aesthetic Ground Truth to Self-Distillationcited by 0
  16. 2026VINS-120K: Ultra High-Resolution Image Editing with A Large-Scale Datasetcited by 0
  17. 2026Beyond Absolute Scores: Relative Edit-induced Difference for Generalizable Image Aesthetic Assessmentcited by 0
  18. 2026The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generationcited by 0
  19. 2026ShutterMuse: Capture-Time Photography Guidance with MLLMscited by 0
  20. 2026COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Modelscited by 0
  21. 2026E3mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignmentcited by 0
  22. 2026AesCanvas: A Large-Scale Dataset and Benchmark for Aesthetic Critique and Contextual Suitabilitycited by 0
  23. 2026Beyond Global Realism: Virtual Try-On Evaluation and Optimization with Dimension-wise Garment Fidelity Assessmentcited by 0
  24. 2026DramaChain Bench: An End-to-End Benchmark for Short-Drama Generationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning
  2. 2024UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment
  3. 2026Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty?
  4. 2025AesBiasBench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic Assessment
  5. 2025HumanAesExpert: Advancing a Multi-Modality Foundation Model for Human Image Aesthetic Assessment
  6. 2024AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
  7. 2025AesTest: Measuring Aesthetic Intelligence from Perception to Production
  8. 2026Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging