FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912727208820736 |
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| author | Wan, Yuxiang Devera, Ryan Zhang, Wenjie Sun, Ju |
| author_facet | Wan, Yuxiang Devera, Ryan Zhang, Wenjie Sun, Ju |
| contents | We present FMPlug, a novel plug-in framework that enhances foundation flow-matching (FM) priors for solving ill-posed inverse problems. Unlike traditional approaches that rely on domain-specific or untrained priors, FMPlug smartly leverages two simple but powerful insights: the similarity between observed and desired objects and the Gaussianity of generative flows. By introducing a time-adaptive warm-up strategy and sharp Gaussianity regularization, FMPlug unlocks the true potential of domain-agnostic foundation models. Our method beats state-of-the-art methods that use foundation FM priors by significant margins, on image super-resolution and Gaussian deblurring. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_00721 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems Wan, Yuxiang Devera, Ryan Zhang, Wenjie Sun, Ju Image and Video Processing Computer Vision and Pattern Recognition Machine Learning Signal Processing We present FMPlug, a novel plug-in framework that enhances foundation flow-matching (FM) priors for solving ill-posed inverse problems. Unlike traditional approaches that rely on domain-specific or untrained priors, FMPlug smartly leverages two simple but powerful insights: the similarity between observed and desired objects and the Gaussianity of generative flows. By introducing a time-adaptive warm-up strategy and sharp Gaussianity regularization, FMPlug unlocks the true potential of domain-agnostic foundation models. Our method beats state-of-the-art methods that use foundation FM priors by significant margins, on image super-resolution and Gaussian deblurring. |
| title | FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse Problems |
| topic | Image and Video Processing Computer Vision and Pattern Recognition Machine Learning Signal Processing |
| url | https://arxiv.org/abs/2508.00721 |