mlsanityData to 7 Oct 2026

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

arXiv 1703.05192 ↗First posted 15 Mar 2017cs.CVcited by 278

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Cited by 26 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

While humans easily recognize relations between data from different domains without any supervision, learning to automatically discover them is in general very challenging and needs many ground-truth pairs that illustrate the relations. To avoid costly pairing, we address the task of discovering cross-domain relations given unpaired data. We propose a method based on generative adversarial networks that learns to discover relations between different domains (DiscoGAN). Using the discovered relations, our proposed network successfully transfers style from one domain to another while preserving key attributes such as orientation and face identity. Source code for official implementation is publicly available https://github.com/SKTBrain/DiscoGAN

Key facts. Cited by 278 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Mar 2017.

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Citing papers per year: 2021: 89; 2022: 73; 2023: 57; 2024: 23; 2025: 27; 2026: 9.

278 papers.

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  11. 2021Combining EfficientNet and Vision Transformers for Video Deepfake Detectioncited by 81
  12. 2021Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspectioncited by 77
38 more
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  4. 2021Dual Contrastive Learning for Unsupervised Image-to-Image Translationcited by 65
  5. 2021Disentangled Cycle Consistency for Highly-realistic Virtual Try-Oncited by 62
  6. 2022BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixcited by 61
  7. 2023ZONE: Zero-Shot Instruction-Guided Local Editingcited by 61
  8. 2021Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Imagescited by 58
  9. 2022Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigationcited by 50
  10. 2021Diverse Semantic Image Synthesis via Probability Distribution Modelingcited by 49
  11. 2021StyleAlign: Analysis and Applications of Aligned StyleGAN Modelscited by 48
  12. 2021Deep Model Intellectual Property Protection via Deep Watermarkingcited by 47
  13. 2021Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translationcited by 45
  14. 2021Federated Multi-Target Domain Adaptationcited by 44
  15. 2022FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swappingcited by 44
  16. 2022UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translationcited by 42
  17. 2021PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learningcited by 41
  18. 2023CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulationcited by 41
  19. 2022Diff-Font: Diffusion Model for Robust One-Shot Font Generationcited by 40
  20. 2022QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translationcited by 39
  21. 2022StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesiscited by 38
  22. 2023ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bankcited by 36
  23. 2021Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translationcited by 35
  24. 2024A survey of synthetic data augmentation methods in computer visioncited by 34
  25. 2025Model Adaptation: Unsupervised Domain Adaptation without Source Datacited by 34
  26. 2022Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminatorcited by 32
  27. 2023Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectivescited by 30
  28. 2023Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Datacited by 29
  29. 2022InstaFormer: Instance-Aware Image-to-Image Translation with Transformercited by 28
  30. 2022Cross-View Panorama Image Synthesiscited by 26
  31. 2023CF-Font: Content Fusion for Few-shot Font Generationcited by 26
  32. 2023AI-Generated Content (AIGC) for Various Data Modalities: A Surveycited by 25
  33. 2021Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptationcited by 24
  34. 2022A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysiscited by 24
  35. 2021Deepfake Detection Scheme Based on Vision Transformer and Distillationcited by 22
  36. 2022Learning Visual Styles from Audio-Visual Associationscited by 22
  37. 2021Memory-guided Unsupervised Image-to-image Translationcited by 21
  38. 2021Cascaded Cross MLP-Mixer GANs for Cross-View Image Translationcited by 21

50 most cited of 278 All 278 (JSON)