Unifying Generative AI With Markov Process Techniques
Generator matching unifies generative models like diffusion & flow matching using Markov processes, enabling superpositions & multimodal models for complex data distributions.
This is a Plain English Papers summary of a research paper called Unifying Generative AI: Generator Matching Leverages Markov Processes. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview The paper introduces a new framework called generator matching for generative modeling using arbitrary Markov processes. Generators characterize the infinitesimal evolution of a Markov process, which the authors leverage for generative modeling. The method constructs conditional generators that generate single data points, then learns to approximate t...