mlsanityData to 7 Oct 2026

Large-scale Text-to-Image Generation Models for Visual Artists' Creative Works

arXiv 2210.08477 ↗First posted 16 Oct 2022cs.HCcited by 60

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Abstract (arXiv)

Large-scale Text-to-image Generation Models (LTGMs) (e.g., DALL-E), self-supervised deep learning models trained on a huge dataset, have demonstrated the capacity for generating high-quality open-domain images from multi-modal input. Although they can even produce anthropomorphized versions of objects and animals, combine irrelevant concepts in reasonable ways, and give variation to any user-provided images, we witnessed such rapid technological advancement left many visual artists disoriented in leveraging LTGMs more actively in their creative works. Our goal in this work is to understand how visual artists would adopt LTGMs to support their creative works. To this end, we conducted an interview study as well as a systematic literature review of 72 system/application papers for a thorough examination. A total of 28 visual artists covering 35 distinct visual art domains acknowledged LTGMs' versatile roles with high usability to support creative works in automating the creation process (i.e., automation), expanding their ideas (i.e., exploration), and facilitating or arbitrating in communication (i.e., mediation). We conclude by providing four design guidelines that future researchers can refer to in making intelligent user interfaces using LTGMs.

Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Oct 2022.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 8; 2024: 20; 2025: 23; 2026: 8.

60 papers.

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  1. 2023A Survey on Multimodal Large Language Models for Autonomous Drivingcited by 288
  2. 2022NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360deg Viewscited by 148
  3. 2023Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Modelscited by 67
  4. 2024PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinementcited by 61
  5. 2023Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writerscited by 32
  6. 2024MagicQuill: An Intelligent Interactive Image Editing Systemcited by 30
  7. 2024OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generationcited by 30
  8. 2023From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscapecited by 18
  9. 2024Diffusion-Based Visual Art Creation: A Survey and New Perspectivescited by 17
  10. 2023Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Modelscited by 16
  11. 2025Deepfakes on Demand: the rise of accessible non-consensual deepfake image generatorscited by 15
  12. 2023"An Adapt-or-Die Type of Situation": Perception, Adoption, and Use of Text-To-Image-Generation AI by Game Industry Professionalscited by 11
38 more
  1. 2024PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creationcited by 9
  2. 2025PosterMate: Audience-driven Collaborative Persona Agents for Poster Designcited by 9
  3. 2024Imperceptible Protection against Style Imitation from Diffusion Modelscited by 8
  4. 2025PromptMap: An Alternative Interaction Style for AI-Based Image Generationcited by 8
  5. 2024A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesiscited by 7
  6. 2024Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generationcited by 7
  7. 2023Towards Mode Balancing of Generative Models via Diversity Weightscited by 6
  8. 2024From Paper to Card: Transforming Design Implications with Generative AIcited by 6
  9. 2024The Cognitive Capabilities of Generative AI: A Comparative Analysis with Human Benchmarkscited by 6
  10. 2025SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketchescited by 6
  11. 2025POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generationcited by 6
  12. 2024Controllable Human Image Generation with Personalized Multi-Garmentscited by 5
  13. 2025Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Softwarecited by 5
  14. 2025GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Designcited by 5
  15. 2024AI-Assisted Causal Pathway Diagram for Human-Centered Designcited by 4
  16. 2024ECOR: Explainable CLIP for Object Recognitioncited by 4
  17. 2024Taming Text-to-Image Synthesis for Novices: User-centric Prompt Generation via Multi-turn Guidancecited by 4
  18. 2025SYNTHIA: Novel Concept Design with Affordance Compositioncited by 4
  19. 2025LongT2IBench: A Benchmark for Evaluating Long Text-to-Image Generation with Graph-structured Annotationscited by 4
  20. 2024CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designscited by 3
  21. 2024GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generationcited by 3
  22. 2025AI Rivalry as a Craft: How Resisting and Embracing Generative AI Reshape Writing Professionscited by 3
  23. 2025Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversitycited by 3
  24. 2025Cooking Up Creativity: Enhancing LLM Creativity through Structured Recombinationcited by 3
  25. 2026Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Trainingcited by 3
  26. 2024Composing Parts for Expressive Object Generationcited by 2
  27. 2025How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Biascited by 2
  28. 2025LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editingcited by 2
  29. 2025T2IBias: Uncovering Societal Bias Encoded in the Latent Space of Text-to-Image Generative Modelscited by 2
  30. 2024Offline Evaluation of Set-Based Text-to-Image Generationcited by 1
  31. 2025DashChat: Interactive Authoring of Performance Dashboard Design Prototypes through Conversation with LLM-Powered Agentcited by 1
  32. 2025An Exploration of Default Images in Text-to-Image Generationcited by 1
  33. 2025LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfercited by 1
  34. 2026HanMoVLM: Large Vision-Language Models for Professional Artistic Painting Evaluationcited by 1
  35. 2026Investigating Social Bias in Narrative Image Generationcited by 1
  36. 2023DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated Contentcited by 0
  37. 2024Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XLcited by 0
  38. 2024Empowering Clients -- Transformation of Design Processes Due to Generative AIcited by 0

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