Flow Matching Guide and Code
Fuente:
arXiv
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| Autores principales: | , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866909420967952384 |
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| author | Lipman, Yaron Havasi, Marton Holderrieth, Peter Shaul, Neta Le, Matt Karrer, Brian Chen, Ricky T. Q. Lopez-Paz, David Ben-Hamu, Heli Gat, Itai |
| author_facet | Lipman, Yaron Havasi, Marton Holderrieth, Peter Shaul, Neta Le, Matt Karrer, Brian Chen, Ricky T. Q. Lopez-Paz, David Ben-Hamu, Heli Gat, Itai |
| contents | Flow Matching (FM) is a recent framework for generative modeling that has achieved state-of-the-art performance across various domains, including image, video, audio, speech, and biological structures. This guide offers a comprehensive and self-contained review of FM, covering its mathematical foundations, design choices, and extensions. By also providing a PyTorch package featuring relevant examples (e.g., image and text generation), this work aims to serve as a resource for both novice and experienced researchers interested in understanding, applying and further developing FM. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_06264 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Flow Matching Guide and Code Lipman, Yaron Havasi, Marton Holderrieth, Peter Shaul, Neta Le, Matt Karrer, Brian Chen, Ricky T. Q. Lopez-Paz, David Ben-Hamu, Heli Gat, Itai Machine Learning Flow Matching (FM) is a recent framework for generative modeling that has achieved state-of-the-art performance across various domains, including image, video, audio, speech, and biological structures. This guide offers a comprehensive and self-contained review of FM, covering its mathematical foundations, design choices, and extensions. By also providing a PyTorch package featuring relevant examples (e.g., image and text generation), this work aims to serve as a resource for both novice and experienced researchers interested in understanding, applying and further developing FM. |
| title | Flow Matching Guide and Code |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2412.06264 |