mlsanityData to 7 Oct 2026

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

arXiv 1704.02510 ↗First posted 8 Apr 2017cs.CVcited by 310

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Cited by 24 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Conditional Generative Adversarial Networks (GANs) for cross-domain image-to-image translation have made much progress recently. Depending on the task complexity, thousands to millions of labeled image pairs are needed to train a conditional GAN. However, human labeling is expensive, even impractical, and large quantities of data may not always be available. Inspired by dual learning from natural language translation, we develop a novel dual-GAN mechanism, which enables image translators to be trained from two sets of unlabeled images from two domains. In our architecture, the primal GAN learns to translate images from domain U to those in domain V, while the dual GAN learns to invert the task. The closed loop made by the primal and dual tasks allows images from either domain to be translated and then reconstructed. Hence a loss function that accounts for the reconstruction error of images can be used to train the translators. Experiments on multiple image translation tasks with unlabeled data show considerable performance gain of DualGAN over a single GAN. For some tasks, DualGAN can even achieve comparable or slightly better results than conditional GAN trained on fully labeled data.

Key facts. Cited by 310 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Apr 2017.

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Citing papers per year: 2020: 1; 2021: 105; 2022: 78; 2023: 57; 2024: 26; 2025: 26; 2026: 17.

310 papers.

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  1. 2022BBDM: Image-to-image Translation with Brownian Bridge Diffusion Modelscited by 222
  2. 2021Large Scale Image Completion via Co-Modulated Generative Adversarial Networkscited by 219
  3. 2022Splicing ViT Features for Semantic Appearance Transfercited by 209
  4. 2022EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equationscited by 172
  5. 2021A Good Image Generator Is What You Need for High-Resolution Video Synthesiscited by 162
  6. 2023Cross-Image Attention for Zero-Shot Appearance Transfercited by 135
  7. 2022CyCLIP: Cyclic Contrastive Language-Image Pretrainingcited by 127
  8. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  9. 2024One-Step Image Translation with Text-to-Image Modelscited by 111
  10. 2022Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectivescited by 98
  11. 2021Unsupervised Domain Adaptation of Object Detectors: A Surveycited by 93
  12. 2021Only a Matter of Style: Age Transformation Using a Style-Based Regression Modelcited by 92
38 more
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  2. 2021Enhancing Photorealism Enhancementcited by 74
  3. 2021DG-Font: Deformable Generative Networks for Unsupervised Font Generationcited by 70
  4. 2021The Spatially-Correlative Loss for Various Image Translation Taskscited by 66
  5. 2021Dual Contrastive Learning for Unsupervised Image-to-Image Translationcited by 65
  6. 2021Image-to-image Translation via Hierarchical Style Disentanglementcited by 63
  7. 2021Disentangled Cycle Consistency for Highly-realistic Virtual Try-Oncited by 62
  8. 2022BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixcited by 61
  9. 2021Unpaired Deep Image Deraining Using Dual Contrastive Learningcited by 60
  10. 2023ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulationcited by 59
  11. 2021Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Imagescited by 58
  12. 2021Style and Pose Control for Image Synthesis of Humans from a Single Monocular Viewcited by 53
  13. 2021Deep Model Intellectual Property Protection via Deep Watermarkingcited by 47
  14. 2021Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translationcited by 45
  15. 2021Federated Multi-Target Domain Adaptationcited by 44
  16. 2021Improving Generation and Evaluation of Visual Stories via Semantic Consistencycited by 43
  17. 2022UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translationcited by 42
  18. 2021PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learningcited by 41
  19. 2022Data Augmentation techniques in time series domain: A survey and taxonomycited by 41
  20. 2023CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulationcited by 41
  21. 2022Diff-Font: Diffusion Model for Robust One-Shot Font Generationcited by 40
  22. 2021Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognitioncited by 39
  23. 2022QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translationcited by 39
  24. 2022StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesiscited by 38
  25. 2021Language-Driven Image Style Transfercited by 36
  26. 2023Picture that Sketch: Photorealistic Image Generation from Abstract Sketchescited by 34
  27. 2024A survey of synthetic data augmentation methods in computer visioncited by 34
  28. 2025Model Adaptation: Unsupervised Domain Adaptation without Source Datacited by 34
  29. 2022Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminatorcited by 32
  30. 2021AdvHaze: Adversarial Haze Attackcited by 31
  31. 2023MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentionscited by 29
  32. 2022InstaFormer: Instance-Aware Image-to-Image Translation with Transformercited by 28
  33. 2022Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Modelscited by 28
  34. 2021CoMoGAN: continuous model-guided image-to-image translationcited by 27
  35. 2022Day-to-Night Image Synthesis for Training Nighttime Neural ISPscited by 23
  36. 2022Learning Visual Styles from Audio-Visual Associationscited by 22
  37. 2021Memory-guided Unsupervised Image-to-image Translationcited by 21
  38. 2021Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Imagescited by 21

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