mlsanityData to 7 Oct 2026

Unsupervised Cross-Domain Image Generation

arXiv 1611.02200 ↗First posted 7 Nov 2016cs.CVcited by 125

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Abstract (arXiv)

We study the problem of transferring a sample in one domain to an analog sample in another domain. Given two related domains, S and T, we would like to learn a generative function G that maps an input sample from S to the domain T, such that the output of a given function f, which accepts inputs in either domains, would remain unchanged. Other than the function f, the training data is unsupervised and consist of a set of samples from each domain. The Domain Transfer Network (DTN) we present employs a compound loss function that includes a multiclass GAN loss, an f-constancy component, and a regularizing component that encourages G to map samples from T to themselves. We apply our method to visual domains including digits and face images and demonstrate its ability to generate convincing novel images of previously unseen entities, while preserving their identity.

Key facts. Cited by 125 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Nov 2016.

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Citing papers per year: 2019: 1; 2020: 0; 2021: 49; 2022: 26; 2023: 19; 2024: 18; 2025: 9; 2026: 3.

125 papers.

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  1. 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
  2. 2022BBDM: Image-to-image Translation with Brownian Bridge Diffusion Modelscited by 222
  3. 2022Splicing ViT Features for Semantic Appearance Transfercited by 209
  4. 2019Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Modelscited by 177
  5. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  6. 2024One-Step Image Translation with Text-to-Image Modelscited by 111
  7. 2021Talk-to-Edit: Fine-Grained Facial Editing via Dialogcited by 102
  8. 2022Visual Prompt Tuning for Test-time Domain Adaptationcited by 97
  9. 2021DG-Font: Deformable Generative Networks for Unsupervised Font Generationcited by 70
  10. 2022Synthetic Data -- what, why and how?cited by 66
  11. 2021Image-to-image Translation via Hierarchical Style Disentanglementcited by 63
  12. 2021Disentangled Cycle Consistency for Highly-realistic Virtual Try-Oncited by 62
38 more
  1. 2022Transferability in Deep Learning: A Surveycited by 57
  2. 2021From Shadow Generation to Shadow Removalcited by 54
  3. 2021A Survey on Deep Domain Adaptation for LiDAR Perceptioncited by 46
  4. 2021Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translationcited by 35
  5. 2025Model Adaptation: Unsupervised Domain Adaptation without Source Datacited by 34
  6. 2021Visualizing Adapted Knowledge in Domain Transfercited by 32
  7. 2022An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Eracited by 32
  8. 2022Modulated Contrast for Versatile Image Synthesiscited by 23
  9. 2021Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptationcited by 21
  10. 2021Memory-guided Unsupervised Image-to-image Translationcited by 21
  11. 2021Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Surveycited by 19
  12. 2021MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Framescited by 18
  13. 2021Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagerycited by 18
  14. 2021SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translationcited by 17
  15. 2021PSGAN++: Robust Detail-Preserving Makeup Transfer and Removalcited by 17
  16. 2021Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translationcited by 15
  17. 2022Unsupervised Structure-Texture Separation Network for Oracle Character Recognitioncited by 15
  18. 2021Divergence Optimization for Noisy Universal Domain Adaptationcited by 13
  19. 2022Deep transfer learning for image classification: a surveycited by 13
  20. 2022An Optimal Transport Perspective on Unpaired Image Super-Resolutioncited by 12
  21. 2021Unsupervised Low-Light Image Enhancement via Histogram Equalization Priorcited by 10
  22. 2022ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentationcited by 10
  23. 2023Open-Set Domain Adaptation with Visual-Language Foundation Modelscited by 10
  24. 2021Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Studycited by 9
  25. 2021ReMix: Towards Image-to-Image Translation with Limited Datacited by 9
  26. 2021Self-Supervised Learning of Domain Invariant Features for Depth Estimationcited by 9
  27. 2021Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detectioncited by 9
  28. 2021FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networkscited by 9
  29. 2023Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applicationscited by 9
  30. 2024Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restorationcited by 9
  31. 2021The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognitioncited by 8
  32. 2021Benchmarking the Robustness of Instance Segmentation Modelscited by 8
  33. 2021USIS: Unsupervised Semantic Image Synthesiscited by 8
  34. 2021A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translationcited by 8
  35. 2021Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learningcited by 7
  36. 2022So Different Yet So Alike! Constrained Unsupervised Text Style Transfercited by 7
  37. 2023Unpaired Image-to-Image Translation with Limited Data to Reveal Subtle Phenotypescited by 7
  38. 2023Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recoverycited by 7

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