mlsanityData to 7 Oct 2026

Text-to-image Diffusion Models in Generative AI: A Survey

arXiv 2303.07909 ↗First posted 14 Mar 2023cs.CV cs.AI cs.LGcited by 264

On the map: Diffusion models → Image generation, text-to-image and editing

Abstract (arXiv)

This survey reviews the progress of diffusion models in generating images from text, ~textiti.e. text-to-image diffusion models. As a self-contained work, this survey starts with a brief introduction of how diffusion models work for image synthesis, followed by the background for text-conditioned image synthesis. Based on that, we present an organized review of pioneering methods and their improvements on text-to-image generation. We further summarize applications beyond image generation, such as text-guided generation for various modalities like videos, and text-guided image editing. Beyond the progress made so far, we discuss existing challenges and promising future directions.

Key facts. Cited by 264 papers in the map (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 122 of its 151 references that are in the map. First posted on arXiv 14 Mar 2023.

Builds on

122 of 151 references.

Closest ancestors · 33

Same direction, newest first

  1. 2022Unified Discrete Diffusion for Simultaneous Vision-Language Generation27 Nov
  2. 2022SpaText: Spatio-Textual Representation for Controllable Image Generation25 Nov
  3. 2022Sketch-Guided Text-to-Image Diffusion Models24 Nov
  4. 2022Paint by Example: Exemplar-based Image Editing with Diffusion Models23 Nov
  5. 2022VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models21 Nov
  6. 2022Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models20 Nov
  7. 2022InstructPix2Pix: Learning to Follow Image Editing Instructions17 Nov
  8. 2022Null-text Inversion for Editing Real Images using Guided Diffusion Models17 Nov
  9. 2022Versatile Diffusion: Text, Images and Variations All in One Diffusion Model15 Nov
  10. 2022Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models15 Nov
  11. 2022Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation14 Nov
  12. 2022eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers2 Nov
21 more
  1. 2022On the detection of synthetic images generated by diffusion models1 Nov
  2. 2022MagicMix: Semantic Mixing with Diffusion Models28 Oct
  3. 2022UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance28 Oct
  4. 2022ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts27 Oct
  5. 2022Towards the Detection of Diffusion Model Deepfakes26 Oct
  6. 2022High-Resolution Image Editing via Multi-Stage Blended Diffusion24 Oct
  7. 2022DiffEdit: Diffusion-based semantic image editing with mask guidance20 Oct
  8. 2022Imagic: Text-Based Real Image Editing with Diffusion Models17 Oct
  9. 2022clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP5 Oct
  10. 2022Creative Painting with Latent Diffusion Models29 Sep
  11. 2022Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion27 Sep
  12. 2022Personalizing Text-to-Image Generation via Aesthetic Gradients25 Sep
  13. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation25 Aug
  14. 2022Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models26 Jul
  15. 2022Blended Latent Diffusion6 Jun
  16. 2022Pretraining is All You Need for Image-to-Image Translation25 May
  17. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding23 May
  18. 2022Hierarchical Text-Conditional Image Generation with CLIP Latents13 Apr
  19. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models20 Dec
  20. 2021More Control for Free! Image Synthesis with Semantic Diffusion Guidance10 Dec
  21. 2021Blended Diffusion for Text-driven Editing of Natural Images29 Nov

Other references · 89

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  4. 2020Language Models are Few-Shot Learnerscited by 32,199
  5. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  6. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  7. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  8. 2020Denoising Diffusion Implicit Modelscited by 9,655
  9. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  10. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  11. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  12. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
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  1. 2022Classifier-Free Diffusion Guidancecited by 5,717
  2. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  3. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,067
  4. 2021Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervisioncited by 3,848
  5. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  6. 2020Taming Transformers for High-Resolution Image Synthesiscited by 3,229
  7. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  8. 2016Improved Techniques for Training GANscited by 2,938
  9. 2018Large Scale GAN Training for High Fidelity Natural Image Synthesiscited by 2,609
  10. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
  11. 2021CLIPScore: A Reference-free Evaluation Metric for Image Captioningcited by 2,388
  12. 2022Video Diffusion Modelscited by 2,280
  13. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
  14. 2014Conditional Generative Adversarial Netscited by 2,152
  15. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
  16. 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 1,765
  17. 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,725
  18. 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generationcited by 1,287
  19. 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
  20. 2021Improving language models by retrieving from trillions of tokenscited by 1,278
  21. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
  22. 2021Alias-Free Generative Adversarial Networkscited by 1,181
  23. 2022Diffusion Models: A Comprehensive Survey of Methods and Applicationscited by 1,107
  24. 2020Improved Techniques for Training Score-Based Generative Modelscited by 1,036
  25. 2022Diffusion Models in Vision: A Surveycited by 1,008
  26. 2022Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translationcited by 897
  27. 2021Florence: A New Foundation Model for Computer Visioncited by 802
  28. 2019Generalization through Memorization: Nearest Neighbor Language Modelscited by 788
  29. 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 773
  30. 2016Generative Adversarial Text to Image Synthesiscited by 735
  31. 2020Encoding in Style: a StyleGAN Encoder for Image-to-Image Translationcited by 727
  32. 2021CogView: Mastering Text-to-Image Generation via Transformerscited by 691
  33. 2017AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networkscited by 664
  34. 2016StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networkscited by 575
  35. 2016Conditional Image Synthesis With Auxiliary Classifier GANscited by 562
  36. 2021Designing an Encoder for StyleGAN Image Manipulationcited by 542
  37. 2021Zero-Shot Text-Guided Object Generation with Dream Fieldscited by 513
  38. 2022Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Modelscited by 501

50 most cited of 89 All 89 (JSON)

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Citing papers per year: 2023: 59; 2024: 100; 2025: 80; 2026: 25.

264 papers.

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  1. 2023Learning Interactive Real-World Simulatorscited by 440
  2. 2023Generative Novel View Synthesis with 3D-Aware Diffusion Modelscited by 273
  3. 2023Multimodal Foundation Models: From Specialists to General-Purpose Assistantscited by 247
  4. 2024Diffusion Model-Based Image Editing: A Surveycited by 212
  5. 2023A Survey on Video Diffusion Modelscited by 203
  6. 2025WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generationcited by 196
  7. 2024An Introduction to Vision-Language Modelingcited by 175
  8. 2023Holistic Evaluation of Text-To-Image Modelscited by 160
  9. 2023AGIQA-3K: An Open Database for AI-Generated Image Quality Assessmentcited by 142
  10. 2023Rich Human Feedback for Text-to-Image Generationcited by 139
  11. 2023SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3Dcited by 134
  12. 2023Foundational Models Defining a New Era in Vision: A Survey and Outlookcited by 109
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  1. 2023Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluationcited by 108
  2. 2024SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Modelcited by 107
  3. 2023Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysiscited by 99
  4. 2024Controllable Generation with Text-to-Image Diffusion Models: A Surveycited by 82
  5. 2024Diffusion Models in Low-Level Vision: A Surveycited by 73
  6. 2023A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AIcited by 68
  7. 2023A Comprehensive Survey on Segment Anything Model for Vision and Beyondcited by 64
  8. 2023GenerateCT: Text-Conditional Generation of 3D Chest CT Volumescited by 64
  9. 2023Toward effective protection against diffusion based mimicry through score distillationcited by 64
  10. 2023The Chosen One: Consistent Characters in Text-to-Image Diffusion Modelscited by 62
  11. 2023Generative AI meets 3D: A Survey on Text-to-3D in AIGC Eracited by 61
  12. 2023On the Design Fundamentals of Diffusion Models: A Surveycited by 59
  13. 2024Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidancecited by 58
  14. 2023Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimizationcited by 56
  15. 2024A Comprehensive Survey of Foundation Models in Medicinecited by 56
  16. 2024Any-Resolution AI-Generated Image Detection by Spectral Learningcited by 56
  17. 2023One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Eracited by 55
  18. 2023Towards Understanding the Interplay of Generative Artificial Intelligence and the Internetcited by 54
  19. 2024Sora as a World Model? A Complete Survey on Text-to-Video Generationcited by 53
  20. 2023Reuse and Diffuse: Iterative Denoising for Text-to-Video Generationcited by 49
  21. 2023Customizing 360-Degree Panoramas through Text-to-Image Diffusion Modelscited by 47
  22. 2025Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Modelcited by 46
  23. 2024Diffusion Model-Based Video Editing: A Surveycited by 44
  24. 2023Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Modelscited by 42
  25. 2023FinDiff: Diffusion Models for Financial Tabular Data Generationcited by 41
  26. 2024Are LLMs Ready for Real-World Materials Discovery?cited by 40
  27. 2024When Large Language Models Meet Vector Databases: A Surveycited by 39
  28. 2024Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigmcited by 38
  29. 2024Perception-guided Jailbreak against Text-to-Image Modelscited by 37
  30. 2024StableIdentity: Inserting Anybody into Anywhere at First Sightcited by 35
  31. 2024LLMs Meet Multimodal Generation and Editing: A Surveycited by 35
  32. 2024Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generationcited by 35
  33. 2023A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Materialcited by 34
  34. 2023Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detectedcited by 34
  35. 2024Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Surveycited by 34
  36. 2024HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splattingcited by 33
  37. 2024Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generationcited by 32
  38. 2023Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedbackcited by 31

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