mlsanityData to 7 Oct 2026

One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models

arXiv 2303.18080 ↗First posted 31 Mar 2023cs.CVcited by 35

On the map: Diffusion models → Medical imaging and segmentation

Abstract (arXiv)

Adapting a segmentation model from a labeled source domain to a target domain, where a single unlabeled datum is available, is one the most challenging problems in domain adaptation and is otherwise known as one-shot unsupervised domain adaptation (OSUDA). Most of the prior works have addressed the problem by relying on style transfer techniques, where the source images are stylized to have the appearance of the target domain. Departing from the common notion of transferring only the target ``texture'' information, we leverage text-to-image diffusion models (e.g., Stable Diffusion) to generate a synthetic target dataset with photo-realistic images that not only faithfully depict the style of the target domain, but are also characterized by novel scenes in diverse contexts. The text interface in our method Data AugmenTation with diffUsion Models (DATUM) endows us with the possibility of guiding the generation of images towards desired semantic concepts while respecting the original spatial context of a single training image, which is not possible in existing OSUDA methods. Extensive experiments on standard benchmarks show that our DATUM surpasses the state-of-the-art OSUDA methods by up to +7.1%. The implementation is available at https://github.com/yasserben/DATUM

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 50 of its 67 references that are in the map. First posted on arXiv 31 Mar 2023.

Builds on

50 of 67 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images12 Jan

Other references · 49

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  4. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  5. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  6. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  7. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  8. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  9. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,427
  10. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  11. 2016DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFscited by 3,239
  12. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,923
37 more
  1. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
  2. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
  3. 2017CyCADA: Cycle-Consistent Adversarial Domain Adaptationcited by 1,079
  4. 2016COCO-Stuff: Thing and Stuff Classes in Contextcited by 858
  5. 2016Playing for Data: Ground Truth from Computer Gamescited by 816
  6. 2018ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentationcited by 623
  7. 2022Compositional Visual Generation with Composable Diffusion Modelscited by 619
  8. 2018Learning to Adapt Structured Output Space for Semantic Segmentationcited by 584
  9. 2015A Neural Algorithm of Artistic Stylecited by 480
  10. 2022Is synthetic data from generative models ready for image recognition?cited by 320
  11. 2019Bidirectional Learning for Domain Adaptation of Semantic Segmentationcited by 308
  12. 2021DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentationcited by 299
  13. 2018Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptationcited by 295
  14. 2021Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentationcited by 268
  15. 2016FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptationcited by 242
  16. 2020DACS: Domain Adaptation via Cross-domain Mixed Samplingcited by 226
  17. 2020ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learningcited by 209
  18. 2020Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervisioncited by 198
  19. 2020PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentationcited by 175
  20. 2022HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentationcited by 163
  21. 2019Domain Adaptation for Structured Output via Discriminative Patch Representationscited by 150
  22. 2021Self-supervised Augmentation Consistency for Adapting Semantic Segmentationcited by 149
  23. 2017Few-Shot Adversarial Domain Adaptationcited by 111
  24. 2021Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptationcited by 83
  25. 2022Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesiscited by 75
  26. 2022MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clientscited by 65
  27. 2020Adversarial Style Mining for One-Shot Unsupervised Domain Adaptationcited by 64
  28. 2019Few-shot Adaptive Faster R-CNNcited by 42
  29. 2020Domain-Adaptive Few-Shot Learningcited by 40
  30. 2018One-Shot Unsupervised Cross Domain Translationcited by 35
  31. 2020Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignmentcited by 29
  32. 2023Semantic Image Segmentation: Two Decades of Researchcited by 26
  33. 2021Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Surveycited by 19
  34. 2021Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentationcited by 15
  35. 2019Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentationcited by 8
  36. 2022Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time Capabilitycited by 7
  37. 2022One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformerscited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 7; 2024: 8; 2025: 15; 2026: 5.

35 papers.

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  1. 2023Text-image Alignment for Diffusion-based Perceptioncited by 42
  2. 2023Collaborating Foundation Models for Domain Generalized Semantic Segmentationcited by 33
  3. 2024Unified Language-driven Zero-shot Domain Adaptationcited by 30
  4. 2023Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentationcited by 27
  5. 2023Unsupervised Domain Adaptation via Domain-Adaptive Diffusioncited by 19
  6. 2023CamDiff: Camouflage Image Augmentation via Diffusion Modelcited by 16
  7. 2025Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognitioncited by 16
  8. 2023Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs Collaborationcited by 12
  9. 2024ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generationcited by 12
  10. 2025Securing the Skies: A Comprehensive Survey on Anti-UAV Methods, Benchmarking, and Future Directionscited by 11
  11. 2024Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentationcited by 6
  12. 2024ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentationcited by 6
23 more
  1. 2025Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptationcited by 6
  2. 2024ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfercited by 5
  3. 2023A Unified Framework for Generative Data Augmentation: A Comprehensive Surveycited by 4
  4. 2024Source-Free Domain Adaptation with Diffusion-Guided Source Data Generationcited by 4
  5. 2025SIDA: Synthetic Image Driven Zero-shot Domain Adaptationcited by 4
  6. 2025Zero Shot Domain Adaptive Semantic Segmentation by Synthetic Data Generation and Progressive Adaptationcited by 3
  7. 2025Training-Free Synthetic Data Generation with Dual IP-Adapter Guidancecited by 3
  8. 2024Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopycited by 1
  9. 2025MedShift: Implicit Conditional Transport for X-Ray Domain Adaptationcited by 1
  10. 2025Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptationcited by 1
  11. 2026Optical Music Recognition for Real-World Manuscripts with Synthetic Datacited by 1
  12. 2024Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred Learningcited by 0
  13. 2025CA-LoRA: Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generationcited by 0
  14. 2025Masked Language Prompting for Generative Data Augmentation in Few-shot Fashion Style Recognitioncited by 0
  15. 2025OT Score: An OT based Confidence Score for Prototype-Assisted Source Free Unsupervised Domain Adaptationcited by 0
  16. 2025FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignmentcited by 0
  17. 2025IELDG: Suppressing Domain-Specific Noise with Inverse Evolution Layers for Domain Generalized Semantic Segmentationcited by 0
  18. 2025Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptationcited by 0
  19. 2025One-shot synthesis of rare gastrointestinal lesions improves diagnostic accuracy and clinical trainingcited by 0
  20. 2026Can One-Shot Test-Time Data Augmentation Help with Generalization?cited by 0
  21. 2026Multi-Objective Optimization for Synthetic-to-Real Style Transfercited by 0
  22. 2026BCMDA: Bidirectional Correlation Maps Domain Adaptation for Mixed Domain Semi-Supervised Medical Image Segmentationcited by 0
  23. 2026Geometry Preserving Loss Functions Promote Improved Adaptation of Blackbox Generative Modelcited by 0

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  1. 2023Transcending Domains through Text-to-Image Diffusion: A Source-Free Approach to Domain Adaptation
  2. 2026VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation
  3. 2023Prompting Diffusion Representations for Cross-Domain Semantic Segmentation
  4. 2024Diffusion Features to Bridge Domain Gap for Semantic Segmentation
  5. 2024Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation
  6. 2026Revisiting Diffusion Fine-Tuning for Unsupervised Domain Adaptation
  7. 2023DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
  8. 2022DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model