Text-to-image Diffusion Models in Generative AI: A Survey
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
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- 2021More Control for Free! Image Synthesis with Semantic Diffusion Guidance10 Dec
- 2021Blended Diffusion for Text-driven Editing of Natural Images29 Nov
Other references · 89
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- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
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- 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
- 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
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- 2020Taming Transformers for High-Resolution Image Synthesiscited by 3,229
- 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
- 2016Improved Techniques for Training GANscited by 2,938
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- 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
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- 2021Alias-Free Generative Adversarial Networkscited by 1,181
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- 2022Diffusion Models in Vision: A Surveycited by 1,008
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- 2021Florence: A New Foundation Model for Computer Visioncited by 802
- 2019Generalization through Memorization: Nearest Neighbor Language Modelscited by 788
- 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 773
- 2016Generative Adversarial Text to Image Synthesiscited by 735
- 2020Encoding in Style: a StyleGAN Encoder for Image-to-Image Translationcited by 727
- 2021CogView: Mastering Text-to-Image Generation via Transformerscited by 691
- 2017AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networkscited by 664
- 2016StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networkscited by 575
- 2016Conditional Image Synthesis With Auxiliary Classifier GANscited by 562
- 2021Designing an Encoder for StyleGAN Image Manipulationcited by 542
- 2021Zero-Shot Text-Guided Object Generation with Dream Fieldscited by 513
- 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.
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