mlsanityData to 7 Oct 2026

A very preliminary analysis of DALL-E 2

arXiv 2204.13807 ↗First posted 25 Apr 2022cs.CV cs.AIcited by 82

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Abstract (arXiv)

The DALL-E 2 system generates original synthetic images corresponding to an input text as caption. We report here on the outcome of fourteen tests of this system designed to assess its common sense, reasoning and ability to understand complex texts. All of our prompts were intentionally much more challenging than the typical ones that have been showcased in recent weeks. Nevertheless, for 5 out of the 14 prompts, at least one of the ten images fully satisfied our requests. On the other hand, on no prompt did all of the ten images satisfy our requests.

Key facts. Cited by 82 papers in the map (data through 7 Oct 2026). Builds on 4 of its 8 references that are in the map. First posted on arXiv 25 Apr 2022.

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4 of 8 references.

References · 4

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  3. 2022Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionalitycited by 523
  4. 2019What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language modelscited by 317

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 18; 2023: 33; 2024: 20; 2025: 8; 2026: 3.

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  1. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  2. 2023H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Modelscited by 805
  3. 2023Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Modelscited by 696
  4. 2022Compositional Visual Generation with Composable Diffusion Modelscited by 619
  5. 2024Visual In-Context Learning for Large Vision-Language Modelscited by 124
  6. 2023From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thoughtcited by 118
  7. 2022ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Expertscited by 110
  8. 2023What You See is What You Read? Improving Text-Image Alignment Evaluationcited by 105
  9. 2022Benchmarking Spatial Relationships in Text-to-Image Generationcited by 96
  10. 2023Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Taskcited by 91
  11. 2023Divide & Bind Your Attention for Improved Generative Semantic Nursingcited by 80
  12. 2023Generating images of rare concepts using pre-trained diffusion modelscited by 78
38 more
  1. 2023Unleashing the potential of prompt engineering for large language modelscited by 72
  2. 2022Testing Relational Understanding in Text-Guided Image Generationcited by 59
  3. 2022Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2cited by 55
  4. 2023ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishingcited by 51
  5. 2023Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesiscited by 51
  6. 2022DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Modelscited by 50
  7. 2022Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionalitycited by 44
  8. 2022Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learningcited by 44
  9. 2023Norm-guided latent space exploration for text-to-image generationcited by 43
  10. 2022Discovering the Hidden Vocabulary of DALLE-2cited by 42
  11. 2023A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutionscited by 34
  12. 2022DALL-E 2 Fails to Reliably Capture Common Syntactic Processescited by 31
  13. 2023Qualitative Failures of Image Generation Models and Their Application in Detecting Deepfakescited by 31
  14. 2022Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesiscited by 29
  15. 2023A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Modelscited by 29
  16. 2023MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problemscited by 29
  17. 2024Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generationcited by 28
  18. 2023Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Searchcited by 25
  19. 2023Artificial muses: Generative Artificial Intelligence Chatbots Have Risen to Human-Level Creativitycited by 24
  20. 2022A Computational Inflection for Scientific Discoverycited by 22
  21. 2025Complexity Control Facilitates Reasoning-Based Compositional Generalization in Transformerscited by 19
  22. 2023Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignmentcited by 18
  23. 2023DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Designcited by 17
  24. 2024A Survey on Quality Metrics for Text-to-Image Generationcited by 17
  25. 2023Why Softmax Attention Outperforms Linear Attentioncited by 15
  26. 2024Language in Vivo vs. in Silico: Size Matters but Larger Language Models Still Do Not Comprehend Language on a Par with Humans Due to Impenetrable Semantic Referencecited by 15
  27. 2024Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizingcited by 15
  28. 2023Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-artcited by 14
  29. 2023From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognitioncited by 12
  30. 2023A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metricscited by 12
  31. 2024A Comprehensive Review of Knowledge Distillation in Computer Visioncited by 10
  32. 2024A Survey on Responsible Generative AI: What to Generate and What Notcited by 8
  33. 2024Relations, Negations, and Numbers: Looking for Logic in Generative Text-to-Image Modelscited by 8
  34. 2022What Does DALL-E 2 Know About Radiology?cited by 7
  35. 2024Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Imagescited by 7
  36. 2024Creativity in AI: Progresses and Challengescited by 7
  37. 2024pOps: Photo-Inspired Diffusion Operatorscited by 6
  38. 2025Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variabilitycited by 6

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