mlsanityData to 7 Oct 2026

Generative Adversarial Text to Image Synthesis

arXiv 1605.05396 ↗First posted 17 May 2016cs.NE cs.CVcited by 735

Not on the map. Why?

Cited by 170 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Automatic synthesis of realistic images from text would be interesting and useful, but current AI systems are still far from this goal. However, in recent years generic and powerful recurrent neural network architectures have been developed to learn discriminative text feature representations. Meanwhile, deep convolutional generative adversarial networks (GANs) have begun to generate highly compelling images of specific categories, such as faces, album covers, and room interiors. In this work, we develop a novel deep architecture and GAN formulation to effectively bridge these advances in text and image model- ing, translating visual concepts from characters to pixels. We demonstrate the capability of our model to generate plausible images of birds and flowers from detailed text descriptions.

Key facts. Cited by 735 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 May 2016.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2018: 1; 2019: 0; 2020: 0; 2021: 148; 2022: 137; 2023: 213; 2024: 135; 2025: 76; 2026: 25.

735 papers.

Sort:

By area:

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  3. 2022Generative Adversarial Networkscited by 5,603
  4. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  5. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
  6. 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,725
  7. 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generationcited by 1,287
  8. 2022Multi-Concept Customization of Text-to-Image Diffusioncited by 1,099
  9. 2021Transformers in Vision: A Surveycited by 1,009
  10. 2021StyleCLIP: Text-Driven Manipulation of StyleGAN Imagerycited by 990
  11. 2023One-step Diffusion with Distribution Matching Distillationcited by 978
  12. 2023GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignmentcited by 946
38 more
  1. 2021Blended Diffusion for Text-driven Editing of Natural Imagescited by 924
  2. 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 773
  3. 2023MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editingcited by 722
  4. 2021CogView: Mastering Text-to-Image Generation via Transformerscited by 691
  5. 2021CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Taskscited by 564
  6. 2023Scaling up GANs for Text-to-Image Synthesiscited by 492
  7. 2022Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priorscited by 487
  8. 2023TokenFlow: Consistent Diffusion Features for Consistent Video Editingcited by 440
  9. 2022Blended Latent Diffusioncited by 430
  10. 2023InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generationcited by 387
  11. 2023Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Modelscited by 358
  12. 2023InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuningcited by 343
  13. 2022Text2LIVE: Text-Driven Layered Image and Video Editingcited by 312
  14. 2023Ablating Concepts in Text-to-Image Diffusion Modelscited by 312
  15. 2023Training-Free Layout Control with Cross-Attention Guidancecited by 312
  16. 2023Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generationcited by 300
  17. 2021VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalizationcited by 287
  18. 2023Text-to-image Diffusion Models in Generative AI: A Surveycited by 264
  19. 2021Cross-Modal Contrastive Learning for Text-to-Image Generationcited by 259
  20. 2023Generating Images with Multimodal Language Modelscited by 259
  21. 2022Diffsound: Discrete Diffusion Model for Text-to-sound Generationcited by 256
  22. 2023T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generationcited by 253
  23. 2022DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Modelscited by 230
  24. 2023Break-A-Scene: Extracting Multiple Concepts from a Single Imagecited by 230
  25. 2024Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMscited by 224
  26. 2023TextDiffuser: Diffusion Models as Text Painterscited by 223
  27. 2022SpaText: Spatio-Textual Representation for Controllable Image Generationcited by 217
  28. 2023StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesiscited by 212
  29. 2021More Control for Free! Image Synthesis with Semantic Diffusion Guidancecited by 211
  30. 2023Controlling Text-to-Image Diffusion by Orthogonal Finetuningcited by 207
  31. 2022Optimizing Prompts for Text-to-Image Generationcited by 204
  32. 2023To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Nowcited by 204
  33. 2021CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoderscited by 186
  34. 20234D-fy: Text-to-4D Generation Using Hybrid Score Distillation Samplingcited by 184
  35. 2023Guiding Instruction-based Image Editing via Multimodal Large Language Modelscited by 182
  36. 2022Depth-Aware Generative Adversarial Network for Talking Head Video Generationcited by 177
  37. 2022ReCo: Region-Controlled Text-to-Image Generationcited by 177
  38. 2024InstanceDiffusion: Instance-level Control for Image Generationcited by 175

50 most cited of 735 All 735 (JSON)