arXiv:2412.06264cs.LG
Flow Matching Guide and Code
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Abstract
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.
You have a few minor errors and I hope I can help out. > Diffusion: generate a lot of noise then try to clean it up You could say this about Flows too. The history of them is shared with diffusion and goes back to the Whitening Transform. Flows work by a coordinate transform so…
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