mlsanityData to 7 Oct 2026

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

arXiv 1711.09020 ↗First posted 24 Nov 2017cs.CVcited by 1,036

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Cited by 94 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Recent studies have shown remarkable success in image-to-image translation for two domains. However, existing approaches have limited scalability and robustness in handling more than two domains, since different models should be built independently for every pair of image domains. To address this limitation, we propose StarGAN, a novel and scalable approach that can perform image-to-image translations for multiple domains using only a single model. Such a unified model architecture of StarGAN allows simultaneous training of multiple datasets with different domains within a single network. This leads to StarGAN's superior quality of translated images compared to existing models as well as the novel capability of flexibly translating an input image to any desired target domain. We empirically demonstrate the effectiveness of our approach on a facial attribute transfer and a facial expression synthesis tasks.

Key facts. Cited by 1,036 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Nov 2017.

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Citing papers per year: 2021: 293; 2022: 212; 2023: 197; 2024: 146; 2025: 122; 2026: 66.

1,036 papers.

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  1. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  2. 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
  3. 2023GLIGEN: Open-Set Grounded Text-to-Image Generationcited by 774
  4. 2021DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulationcited by 640
  5. 2023Zero-shot Image-to-Image Translationcited by 503
  6. 2023Towards Universal Fake Image Detectors that Generalize Across Generative Modelscited by 483
  7. 2022Efficient Test-Time Model Adaptation without Forgettingcited by 467
  8. 2023Towards Stable Test-Time Adaptation in Dynamic Wild Worldcited by 409
  9. 2023DIRE for Diffusion-Generated Image Detectioncited by 386
  10. 2022BBDM: Image-to-image Translation with Brownian Bridge Diffusion Modelscited by 222
  11. 2021Large Scale Image Completion via Co-Modulated Generative Adversarial Networkscited by 219
  12. 2022Dual Diffusion Implicit Bridges for Image-to-Image Translationcited by 212
38 more
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  2. 2023Controlling Text-to-Image Diffusion by Orthogonal Finetuningcited by 207
  3. 2021PIRenderer: Controllable Portrait Image Generation via Semantic Neural Renderingcited by 202
  4. 2021GAN Prior Embedded Network for Blind Face Restoration in the Wildcited by 197
  5. 2021ATISS: Autoregressive Transformers for Indoor Scene Synthesiscited by 195
  6. 2024A Sanity Check for AI-generated Image Detectioncited by 187
  7. 2021Audio-Driven Emotional Video Portraitscited by 180
  8. 2023Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detectioncited by 180
  9. 2021A Fine-Grained Analysis on Distribution Shiftcited by 171
  10. 2022DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Modelscited by 167
  11. 2022Pretraining is All You Need for Image-to-Image Translationcited by 160
  12. 2021EditGAN: High-Precision Semantic Image Editingcited by 156
  13. 2022Diffusion-based Image Translation using Disentangled Style and Content Representationcited by 148
  14. 2021Are GAN generated images easy to detect? A critical analysis of the state-of-the-artcited by 139
  15. 2021Taming Visually Guided Sound Generationcited by 136
  16. 2022CyCLIP: Cyclic Contrastive Language-Image Pretrainingcited by 127
  17. 2022RigNeRF: Fully Controllable Neural 3D Portraitscited by 126
  18. 2023Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detectioncited by 126
  19. 2024DF40: Toward Next-Generation Deepfake Detectioncited by 126
  20. 2021Generative Adversarial Transformerscited by 120
  21. 2023PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detectioncited by 119
  22. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  23. 2023DCFace: Synthetic Face Generation with Dual Condition Diffusion Modelcited by 116
  24. 2021Emotional Voice Conversion: Theory, Databases and ESDcited by 113
  25. 2024C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detectioncited by 111
  26. 2021Representative Forgery Mining for Fake Face Detectioncited by 108
  27. 2022EpiGRAF: Rethinking training of 3D GANscited by 108
  28. 2021Talk-to-Edit: Fine-Grained Facial Editing via Dialogcited by 102
  29. 2021GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worldscited by 98
  30. 2022Image Data Augmentation for Deep Learning: A Surveycited by 96
  31. 2022Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learningcited by 93
  32. 2021Only a Matter of Style: Age Transformation Using a Style-Based Regression Modelcited by 92
  33. 2021GAN-Control: Explicitly Controllable GANscited by 91
  34. 2021Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editingcited by 91
  35. 2022Fusing Global and Local Features for Generalized AI-Synthesized Image Detectioncited by 88
  36. 2024Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detectioncited by 88
  37. 2024Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspectivecited by 88
  38. 2021Learning by Watching: Physical Imitation of Manipulation Skills from Human Videoscited by 87

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