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A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

arXiv 1809.01361 ↗First posted 5 Sep 2018cs.CVcited by 60

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Abstract (arXiv)

We present a novel and unified deep learning framework which is capable of learning domain-invariant representation from data across multiple domains. Realized by adversarial training with additional ability to exploit domain-specific information, the proposed network is able to perform continuous cross-domain image translation and manipulation, and produces desirable output images accordingly. In addition, the resulting feature representation exhibits superior performance of unsupervised domain adaptation, which also verifies the effectiveness of the proposed model in learning disentangled features for describing cross-domain data.

Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Sep 2018.

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Citing papers per year: 2021: 27; 2022: 17; 2023: 5; 2024: 4; 2025: 6; 2026: 1.

60 papers.

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  1. 2021Generalizing to Unseen Domains: A Survey on Domain Generalizationcited by 762
  2. 2021GAN Inversion: A Surveycited by 366
  3. 2022EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equationscited by 172
  4. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  5. 2021Invariant Information Bottleneck for Domain Generalizationcited by 86
  6. 2022Sparse Mixture-of-Experts are Domain Generalizable Learnerscited by 85
  7. 2021High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Networkcited by 61
  8. 2021Style Normalization and Restitution for Domain Generalization and Adaptationcited by 46
  9. 2021Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Expertscited by 46
  10. 2021Federated Multi-Target Domain Adaptationcited by 44
  11. 2021DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfercited by 38
  12. 2021Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translationcited by 35
38 more
  1. 2022Few-Shot Font Generation by Learning Fine-Grained Local Stylescited by 34
  2. 2022Temporal Domain Generalization with Drift-Aware Dynamic Neural Networkscited by 32
  3. 2021A Survey of Unsupervised Domain Adaptation for Visual Recognitioncited by 31
  4. 2022Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognitioncited by 28
  5. 2022Domain Generalization via Frequency-domain-based Feature Disentanglement and Interactioncited by 21
  6. 2022XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generationcited by 18
  7. 2022HACA3: A Unified Approach for Multi-site MR Image Harmonizationcited by 17
  8. 2021Information-based Disentangled Representation Learning for Unsupervised MR Harmonizationcited by 16
  9. 2022GAN-based Facial Attribute Manipulationcited by 16
  10. 2024Continuous Temporal Domain Generalizationcited by 14
  11. 2021Unaligned Image-to-Image Translation by Learning to Reweightcited by 13
  12. 2022Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognitioncited by 9
  13. 2022Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcarecited by 9
  14. 2021A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translationcited by 8
  15. 2021Disentanglement and Generalization Under Correlation Shiftscited by 8
  16. 2022HMOE: Hypernetwork-based Mixture of Experts for Domain Generalizationcited by 8
  17. 2023Few shot font generation via transferring similarity guided global style and quantization local stylecited by 8
  18. 2021TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasetscited by 7
  19. 2021Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GANcited by 7
  20. 2021Few-shot Font Generation with Weakly Supervised Localized Representationscited by 7
  21. 2022Weakly Supervised Correspondence Learningcited by 7
  22. 2023CODA: Temporal Domain Generalization via Concept Drift Simulatorcited by 6
  23. 2022Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classificationcited by 5
  24. 2022Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptationcited by 5
  25. 2021Enhanced Separable Disentanglement for Unsupervised Domain Adaptationcited by 4
  26. 2022Enhancing Low-Light Images in Real World via Cross-Image Disentanglementcited by 4
  27. 2025Online time series prediction using feature adjustmentcited by 4
  28. 2021Disentanglement by Cyclic Reconstructioncited by 3
  29. 2024Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Taskscited by 3
  30. 2025FORLA: Federated Object-centric Representation Learning with Slot Attentioncited by 3
  31. 2021Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglementcited by 2
  32. 2021AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Trainingcited by 2
  33. 2025Continuous Domain Generalizationcited by 2
  34. 2022Variational Transfer Learning using Cross-Domain Latent Modulationcited by 1
  35. 2023Multi-Modal Face Stylization with a Generative Priorcited by 1
  36. 2023FACT: Federated Adversarial Cross Trainingcited by 1
  37. 2025LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentationcited by 1
  38. 2025Universal Multi-Domain Translation via Diffusion Routerscited by 1

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