mlsanityData to 7 Oct 2026

Dual Diffusion Implicit Bridges for Image-to-Image Translation

arXiv 2203.08382 ↗First posted 16 Mar 2022cs.CV cs.AI cs.LGcited by 212

On the map: Diffusion models → Image generation, text-to-image and editing

Abstract (arXiv)

Common image-to-image translation methods rely on joint training over data from both source and target domains. The training process requires concurrent access to both datasets, which hinders data separation and privacy protection; and existing models cannot be easily adapted for translation of new domain pairs. We present Dual Diffusion Implicit Bridges (DDIBs), an image translation method based on diffusion models, that circumvents training on domain pairs. Image translation with DDIBs relies on two diffusion models trained independently on each domain, and is a two-step process: DDIBs first obtain latent encodings for source images with the source diffusion model, and then decode such encodings using the target model to construct target images. Both steps are defined via ordinary differential equations (ODEs), thus the process is cycle consistent only up to discretization errors of the ODE solvers. Theoretically, we interpret DDIBs as concatenation of source to latent, and latent to target Schrodinger Bridges, a form of entropy-regularized optimal transport, to explain the efficacy of the method. Experimentally, we apply DDIBs on synthetic and high-resolution image datasets, to demonstrate their utility in a wide variety of translation tasks and their inherent optimal transport properties.

Key facts. Cited by 212 papers in the map (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 32 of its 56 references that are in the map. First posted on arXiv 16 Mar 2022.

Builds on

32 of 56 references.

Closest ancestors · 1

Same direction, newest first

  1. 2021Palette: Image-to-Image Diffusion Models10 Nov

Other references · 31

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2020Denoising Diffusion Implicit Modelscited by 9,655
  3. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  4. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  5. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  6. 2022Generative Adversarial Networkscited by 5,603
  7. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,067
  8. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,736
  9. 2015Trust Region Policy Optimizationcited by 2,503
  10. 2013Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distancescited by 2,277
  11. 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,903
  12. 2021Variational Diffusion Modelscited by 1,145
19 more
  1. 2017StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translationcited by 1,036
  2. 2022Denoising Diffusion Restoration Modelscited by 951
  3. 2021Diffusion Probabilistic Models for 3D Point Cloud Generationcited by 734
  4. 2021ILVR: Conditioning Method for Denoising Diffusion Probabilistic Modelscited by 634
  5. 2021Diffusion Schr"odinger Bridge with Applications to Score-Based Generative Modelingcited by 594
  6. 20213D Shape Generation and Completion through Point-Voxel Diffusioncited by 516
  7. 2013A survey of the Schr"odinger problem and some of its connections with optimal transportcited by 286
  8. 2021Likelihood Training of Schr"odinger Bridge using Forward-Backward SDEs Theorycited by 216
  9. 2021Solving Schr"odinger Bridges via Maximum Likelihoodcited by 140
  10. 2021UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Modelscited by 133
  11. 2022Neural Optimal Transportcited by 123
  12. 2021Deep Generative Learning via Schr"odinger Bridgecited by 103
  13. 2014On the relation between optimal transport and Schr"odinger bridges: A stochastic control viewpointcited by 99
  14. 2021D2C: Diffusion-Denoising Models for Few-shot Conditional Generationcited by 96
  15. 2018Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Datacited by 76
  16. 2021Estimating High Order Gradients of the Data Distribution by Denoisingcited by 63
  17. 2020Unpaired Image-to-Image Translation using Adversarial Consistency Losscited by 43
  18. 2021DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfercited by 38
  19. 2019AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flowscited by 33

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 17; 2023: 74; 2024: 57; 2025: 38; 2026: 26.

212 papers.

Sort:

By area:

  1. 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,550
  2. 2023Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Modelscited by 1,465
  3. 2022Imagic: Text-Based Real Image Editing with Diffusion Modelscited by 1,172
  4. 2023Stochastic Interpolants: A Unifying Framework for Flows and Diffusionscited by 897
  5. 2022On Distillation of Guided Diffusion Modelscited by 721
  6. 2023SVDiff: Compact Parameter Space for Diffusion Fine-Tuningcited by 338
  7. 2023LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matchingcited by 290
  8. 2022EDICT: Exact Diffusion Inversion via Coupled Transformationscited by 256
  9. 2022A Survey on Generative Diffusion Modelcited by 238
  10. 2023I2SB: Image-to-Image Schr"odinger Bridgecited by 214
  11. 2023UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wildcited by 197
  12. 2023Denoising Diffusion Bridge Modelscited by 171
38 more
  1. 2022Concrete Score Matching: Generalized Score Matching for Discrete Datacited by 144
  2. 2023Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyondcited by 139
  3. 2023Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generationcited by 133
  4. 2022Semantic Image Synthesis via Diffusion Modelscited by 131
  5. 2022GENIE: Higher-Order Denoising Diffusion Solverscited by 127
  6. 2023State of the Art on Diffusion Models for Visual Computingcited by 126
  7. 2024One-Step Image Translation with Text-to-Image Modelscited by 111
  8. 2024Improving the Training of Rectified Flowscited by 106
  9. 2022Refining Generative Process with Discriminator Guidance in Score-based Diffusion Modelscited by 98
  10. 2023Unpaired Image-to-Image Translation via Neural Schr"odinger Bridgecited by 96
  11. 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Modelscited by 86
  12. 2023Effective Real Image Editing with Accelerated Iterative Diffusion Inversioncited by 79
  13. 2023PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Modelscited by 70
  14. 2022Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidancecited by 67
  15. 2024A Survey on Diffusion Models for Time Series and Spatio-Temporal Datacited by 66
  16. 2023The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editingcited by 61
  17. 2024DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Modelscited by 60
  18. 2023Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfercited by 59
  19. 2023High Fidelity Image Counterfactuals with Probabilistic Causal Modelscited by 53
  20. 2023CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganographycited by 50
  21. 2024Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptationcited by 50
  22. 2023On Exact Inversion of DPM-Solverscited by 47
  23. 2024Diffusion Bridge Implicit Modelscited by 47
  24. 2023Towards Accurate Post-training Quantization for Diffusion Modelscited by 46
  25. 2023Perceptual Artifacts Localization for Image Synthesis Taskscited by 43
  26. 2022SinDiffusion: Learning a Diffusion Model from a Single Natural Imagecited by 42
  27. 2023CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulationcited by 41
  28. 2023Image Restoration Through Generalized Ornstein-Uhlenbeck Bridgecited by 41
  29. 2023LayerDiffusion: Layered Controlled Image Editing with Diffusion Modelscited by 40
  30. 2023Interpretable Diffusion via Information Decompositioncited by 37
  31. 2023Exploiting Diffusion Prior for Generalizable Dense Predictioncited by 37
  32. 2024Rethinking Score Distillation as a Bridge Between Image Distributionscited by 36
  33. 2022Neural Optimal Transport with General Cost Functionalscited by 34
  34. 2024Simple ReFlow: Improved Techniques for Fast Flow Modelscited by 34
  35. 2023Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Modelcited by 33
  36. 2023Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Modelscited by 33
  37. 2023General Image-to-Image Translation with One-Shot Image Guidancecited by 31
  38. 2023Text-Driven Image Editing via Learnable Regionscited by 31

50 most cited of 212 All 212 (JSON)

Similar, not cited

Close in wording, no citation either way

  1. 2025OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation
  2. 2024Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation
  3. 2025A Diffusion Model Translator for Efficient Image-to-Image Translation
  4. 2026Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation
  5. 2025CycleDiff: Cycle Diffusion Models for Unpaired Image-to-image Translation
  6. 2024SFDDM: Single-fold Distillation for Diffusion models
  7. 2025When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
  8. 2022BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models