LBM: Latent Bridge Matching for Fast Image-to-Image Translation
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866912547793272832 |
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| author | Chadebec, Clément Tasar, Onur Sreetharan, Sanjeev Aubin, Benjamin |
| author_facet | Chadebec, Clément Tasar, Onur Sreetharan, Sanjeev Aubin, Benjamin |
| contents | In this paper, we introduce Latent Bridge Matching (LBM), a new, versatile and scalable method that relies on Bridge Matching in a latent space to achieve fast image-to-image translation. We show that the method can reach state-of-the-art results for various image-to-image tasks using only a single inference step. In addition to its efficiency, we also demonstrate the versatility of the method across different image translation tasks such as object removal, normal and depth estimation, and object relighting. We also derive a conditional framework of LBM and demonstrate its effectiveness by tackling the tasks of controllable image relighting and shadow generation. We provide an implementation at https://github.com/gojasper/LBM. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_07535 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | LBM: Latent Bridge Matching for Fast Image-to-Image Translation Chadebec, Clément Tasar, Onur Sreetharan, Sanjeev Aubin, Benjamin Computer Vision and Pattern Recognition In this paper, we introduce Latent Bridge Matching (LBM), a new, versatile and scalable method that relies on Bridge Matching in a latent space to achieve fast image-to-image translation. We show that the method can reach state-of-the-art results for various image-to-image tasks using only a single inference step. In addition to its efficiency, we also demonstrate the versatility of the method across different image translation tasks such as object removal, normal and depth estimation, and object relighting. We also derive a conditional framework of LBM and demonstrate its effectiveness by tackling the tasks of controllable image relighting and shadow generation. We provide an implementation at https://github.com/gojasper/LBM. |
| title | LBM: Latent Bridge Matching for Fast Image-to-Image Translation |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2503.07535 |