DBMSolver: A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation
On the map: Diffusion models → Image generation, text-to-image and editing
Abstract (arXiv)
Diffusion-based image-to-image (I2I) translation excels in high-fidelity generation but suffers from slow sampling in state-of-the-art Diffusion Bridge Models (DBMs), often requiring dozens of function evaluations (NFEs). We introduce DBMSolver, a training-free sampler that exploits the semi-linear structure of DBM's underlying SDE and ODE via exponential integrators, yielding highly-efficient 1st- and 2nd-order solutions. This reduces NFEs by up to 5x while boosting quality (e.g., FID drops 53% on DIODE at 20 NFEs vs. 2nd-order baseline). Experiments on inpainting, stylization, and semantics-to-image tasks across resolutions up to 256x256 show DBMSolver sets new SOTA efficiency-quality tradeoffs, enabling real-world applicability. Our code is publicly available at https://github.com/snumprlab/dbmsolver.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 35 of its 44 references that are in the map. First posted on arXiv 7 May 2026.
Builds on
35 of 44 references.
Closest ancestors · 3
Same direction, newest first
- 2022BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models16 May
- 2022Dual Diffusion Implicit Bridges for Image-to-Image Translation16 Mar
- 2021Palette: Image-to-Image Diffusion Models10 Nov
Other references · 32
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2020Denoising Diffusion Implicit Modelscited by 9,655
- 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
- 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
- 2022Flow Matching for Generative Modelingcited by 5,426
- 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
- 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
- 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 2,994
- 2022DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Stepscited by 1,961
- 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,903
- 2021Image Super-Resolution via Iterative Refinementcited by 1,506
20 more
- 2019Semantic Image Synthesis with Spatially-Adaptive Normalizationcited by 1,295
- 2022Denoising Diffusion Restoration Modelscited by 951
- 2022DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Modelscited by 924
- 2019MaskGAN: Towards Diverse and Interactive Facial Image Manipulationcited by 624
- 2022Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Modelcited by 574
- 2023UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Modelscited by 441
- 2018Diverse Image-to-Image Translation via Disentangled Representationscited by 296
- 2024Simplifying, Stabilizing and Scaling Continuous-Time Consistency Modelscited by 276
- 2019DIODE: A Dense Indoor and Outdoor DEpth Datasetcited by 236
- 2023I2SB: Image-to-Image Schr"odinger Bridgecited by 214
- 2023Denoising Diffusion Bridge Modelscited by 171
- 2024Consistency Models Made Easycited by 140
- 2020You Only Need Adversarial Supervision for Semantic Image Synthesiscited by 129
- 2025Inductive Moment Matchingcited by 107
- 2024EM Distillation for One-step Diffusion Modelscited by 60
- 2024Diffusion Bridge Implicit Modelscited by 47
- 2023Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesiscited by 29
- 2024Consistency Diffusion Bridge Modelscited by 22
- 2025Inverse Bridge Matching Distillationcited by 13
- 2024An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Modelscited by 2
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