mlsanityData to 7 Oct 2026

Few-Shot Unsupervised Image-to-Image Translation

arXiv 1905.01723 ↗First posted 5 May 2019cs.CV cs.AI cs.GRcited by 222

Not on the map. Why?

Abstract (arXiv)

Unsupervised image-to-image translation methods learn to map images in a given class to an analogous image in a different class, drawing on unstructured (non-registered) datasets of images. While remarkably successful, current methods require access to many images in both source and destination classes at training time. We argue this greatly limits their use. Drawing inspiration from the human capability of picking up the essence of a novel object from a small number of examples and generalizing from there, we seek a few-shot, unsupervised image-to-image translation algorithm that works on previously unseen target classes that are specified, at test time, only by a few example images. Our model achieves this few-shot generation capability by coupling an adversarial training scheme with a novel network design. Through extensive experimental validation and comparisons to several baseline methods on benchmark datasets, we verify the effectiveness of the proposed framework. Our implementation and datasets are available at https://github.com/NVlabs/FUNIT .

Key facts. Cited by 222 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 May 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2019: 1; 2020: 0; 2021: 86; 2022: 60; 2023: 42; 2024: 17; 2025: 11; 2026: 5.

222 papers.

Sort:

By area:

  1. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
  2. 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
  3. 2021ILVR: Conditioning Method for Denoising Diffusion Probabilistic Modelscited by 634
  4. 2021SimSwap: An Efficient Framework For High Fidelity Face Swappingcited by 243
  5. 2022BBDM: Image-to-image Translation with Brownian Bridge Diffusion Modelscited by 222
  6. 2021Large Scale Image Completion via Co-Modulated Generative Adversarial Networkscited by 219
  7. 2022SpaText: Spatio-Textual Representation for Controllable Image Generationcited by 217
  8. 2023Style Aligned Image Generation via Shared Attentioncited by 214
  9. 2021Few-shot Image Generation via Cross-domain Correspondencecited by 206
  10. 2023DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Modelscited by 193
  11. 2019Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Modelscited by 177
  12. 2022Semantic Image Synthesis via Diffusion Modelscited by 131
38 more
  1. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  2. 2021GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worldscited by 98
  3. 2021Only a Matter of Style: Age Transformation Using a Style-Based Regression Modelcited by 92
  4. 2024Distilling Diffusion Models into Conditional GANscited by 78
  5. 2022FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbationscited by 75
  6. 2021Region-aware Adaptive Instance Normalization for Image Harmonizationcited by 71
  7. 2021DG-Font: Deformable Generative Networks for Unsupervised Font Generationcited by 70
  8. 2021Aligning Latent and Image Spaces to Connect the Unconnectablecited by 70
  9. 2021Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networkscited by 68
  10. 2022Motion Puzzle: Arbitrary Motion Style Transfer by Body Partcited by 64
  11. 2021Image-to-image Translation via Hierarchical Style Disentanglementcited by 63
  12. 2021Rebooting ACGAN: Auxiliary Classifier GANs with Stable Trainingcited by 57
  13. 2022Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignmentcited by 54
  14. 2021On Aliased Resizing and Surprising Subtleties in GAN Evaluationcited by 51
  15. 2021TextStyleBrush: Transfer of Text Aesthetics from a Single Examplecited by 48
  16. 2021StyleAlign: Analysis and Applications of Aligned StyleGAN Modelscited by 48
  17. 2023FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learningcited by 48
  18. 2021BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generationcited by 47
  19. 2021Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Expertscited by 46
  20. 2021Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translationcited by 45
  21. 20223D GAN Inversion with Pose Optimizationcited by 44
  22. 2022FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swappingcited by 44
  23. 2021Rethinking Style Transfer: From Pixels to Parameterized Brushstrokescited by 42
  24. 2022Diff-Font: Diffusion Model for Robust One-Shot Font Generationcited by 40
  25. 2021DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfercited by 38
  26. 2022StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesiscited by 38
  27. 2021Sketch Your Own GANcited by 37
  28. 2021On the Limitations of Multimodal VAEscited by 37
  29. 2021Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translationcited by 35
  30. 2022Few-Shot Font Generation by Learning Fine-Grained Local Stylescited by 34
  31. 2022Few-shot Image Generation via Adaptation-Aware Kernel Modulationcited by 33
  32. 2022Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminatorcited by 32
  33. 2022StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesiscited by 32
  34. 2021Dual Contrastive Loss and Attention for GANscited by 30
  35. 2023Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Datacited by 29
  36. 2021CoMoGAN: continuous model-guided image-to-image translationcited by 27
  37. 2022SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Textcited by 26
  38. 2023CF-Font: Content Fusion for Few-shot Font Generationcited by 26

50 most cited of 222 All 222 (JSON)