<ul><li>Flow Matching and Diffusion Models are techniques used for generating consistent, high-resolution data.</li><li>Flow matching is a more general method than diffusion and holds promise for image and robot trajectory generation.</li><li>Both flow matching and diffusion approach data generation as the realization of a random variable.</li><li>Flow matching works by learning the inverse function to remove noise and generate image content.</li></ul>

Flow Matching For Generative Models From Scratch

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