mlsanityData to 7 Oct 2026

CoMoGAN: continuous model-guided image-to-image translation

arXiv 2103.06879 ↗First posted 11 Mar 2021cs.CV cs.AI cs.LGcited by 27

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Abstract (arXiv)

CoMoGAN is a continuous GAN relying on the unsupervised reorganization of the target data on a functional manifold. To that matter, we introduce a new Functional Instance Normalization layer and residual mechanism, which together disentangle image content from position on target manifold. We rely on naive physics-inspired models to guide the training while allowing private model/translations features. CoMoGAN can be used with any GAN backbone and allows new types of image translation, such as cyclic image translation like timelapse generation, or detached linear translation. On all datasets, it outperforms the literature. Our code is available at http://github.com/cv-rits/CoMoGAN .

Key facts. Cited by 27 papers in the map (data through 7 Oct 2026). Builds on 63 of its 77 references that are in the map. First posted on arXiv 11 Mar 2021.

Builds on

63 of 77 references.

References · 63

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  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  3. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  4. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,427
  5. 2015Domain-Adversarial Training of Neural Networkscited by 3,023
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  12. 2017CyCADA: Cycle-Consistent Adversarial Domain Adaptationcited by 1,079
38 more
  1. 2017StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translationcited by 1,036
  2. 2016Least Squares Generative Adversarial Networkscited by 1,000
  3. 2018Multimodal Unsupervised Image-to-Image Translationcited by 795
  4. 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkscited by 707
  5. 2020Contrastive Learning for Unpaired Image-to-Image Translationcited by 637
  6. 2017Unsupervised Image-to-Image Translation Networkscited by 602
  7. 2017Semantic Foggy Scene Understanding with Synthetic Datacited by 401
  8. 2017DualGAN: Unsupervised Dual Learning for Image-to-Image Translationcited by 310
  9. 2019Bidirectional Learning for Domain Adaptation of Semantic Segmentationcited by 308
  10. 2017Toward Multimodal Image-to-Image Translationcited by 295
  11. 2019SEAN: Image Synthesis with Semantic Region-Adaptive Normalizationcited by 253
  12. 2019On the "steerability" of generative adversarial networkscited by 247
  13. 2019DRIT++: Diverse Image-to-Image Translation via Disentangled Representationscited by 244
  14. 2019Few-Shot Unsupervised Image-to-Image Translationcited by 222
  15. 2017Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesiscited by 215
  16. 2019GANalyze: Toward Visual Definitions of Cognitive Image Propertiescited by 193
  17. 2018DLOW: Domain Flow for Adaptation and Generalizationcited by 176
  18. 2017Image to Image Translation for Domain Adaptationcited by 171
  19. 2019Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learningcited by 157
  20. 2017Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modelingcited by 130
  21. 2016Deep Feature Interpolation for Image Content Changescited by 80
  22. 2018Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Datacited by 76
  23. 2020TSIT: A Simple and Versatile Framework for Image-to-Image Translationcited by 64
  24. 2018FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discoverycited by 58
  25. 2020Semantically Multi-modal Image Synthesiscited by 58
  26. 2019RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributescited by 56
  27. 2020Rethinking the Truly Unsupervised Image-to-Image Translationcited by 56
  28. 2020Rain rendering for evaluating and improving robustness to bad weathercited by 56
  29. 2019Physics-Based Rendering for Improving Robustness to Raincited by 49
  30. 2018Deep Network Interpolation for Continuous Imagery Effect Transitioncited by 47
  31. 2018tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flowcited by 44
  32. 2018Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistencycited by 41
  33. 2020COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encodercited by 39
  34. 2018Physics-Based Generative Adversarial Models for Image Restoration and Beyondcited by 37
  35. 2018InstaGAN: Instance-aware Image-to-Image Translationcited by 37
  36. 2019Unsupervised Domain-Specific Deblurring via Disentangled Representationscited by 37
  37. 2019Towards Instance-level Image-to-Image Translationcited by 36
  38. 2019Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptationcited by 32

50 most cited of 63 All 63 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 8; 2023: 6; 2024: 4; 2025: 1; 2026: 3.

27 papers.

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  1. 2023Self-supervised Monocular Depth Estimation: Let's Talk About The Weathercited by 33
  2. 2022NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Nightcited by 21
  3. 2021Physics-informed Guided Disentanglement in Generative Networkscited by 9
  4. 2021ManiFest: Manifold Deformation for Few-shot Image Translationcited by 6
  5. 2021Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Informationcited by 6
  6. 2022GlassesGAN: Eyewear Personalization using Synthetic Appearance Discovery and Targeted Subspace Modelingcited by 5
  7. 2024Vision Technologies with Applications in Traffic Surveillance Systems: A Holistic Surveycited by 4
  8. 2021Seeing Objects in dark with Continual Contrastive Learningcited by 2
  9. 2022Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transitioncited by 2
  10. 2022Contrastive Monotonic Pixel-Level Modulationcited by 2
  11. 2023Domain-Scalable Unpaired Image Translation via Latent Space Anchoringcited by 2
  12. 2023Learning to Generate Training Datasets for Robust Semantic Segmentationcited by 2
15 more
  1. 2023Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translationcited by 2
  2. 2021Leveraging Local Domains for Image-to-Image Translationcited by 1
  3. 2022ChildPredictor: A Child Face Prediction Framework with Disentangled Learningcited by 1
  4. 2022Do Deep Neural Networks Always Perform Better When Eating More Data?cited by 1
  5. 2022A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objectivecited by 1
  6. 2023Integrating GAN and Texture Synthesis for Enhanced Road Damage Detectioncited by 1
  7. 2024Domain Adaptation with a Single Vision-Language Embeddingcited by 1
  8. 2025TimeNeRF: Building Generalizable Neural Radiance Fields across Time from Few-Shot Input Viewscited by 1
  9. 2026Adapting Depth Anything to Adverse Imaging Conditions with Eventscited by 1
  10. 2026Image-to-Image Translation Framework Embedded with Rotation Symmetry Priorscited by 1
  11. 2022Lightweight HDR Camera ISP for Robust Perception in Dynamic Illumination Conditions via Fourier Adversarial Networkscited by 0
  12. 2023Spectrum-inspired Low-light Image Translation for Saliency Detectioncited by 0
  13. 2024RoNet: Rotation-oriented Continuous Image Translationcited by 0
  14. 2024Generative Face Parsing Map Guided 3D Face Reconstruction Under Occluded Scenescited by 0
  15. 2026When To Adapt? Adapting the Model or Data in Federated Medical Imagingcited by 0