[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] [@shaulneta](/creator/twitter/shaulneta) "1/n New paper alert 🚀 Excited to introduce () We're replacing short-timestep kernels from Flow Matching/Diffusion with. a generative model🤯 achieving SOTA text-2-image generation @urielsinger @itai_gat @lipmanya"  [@shaulneta](/creator/x/shaulneta) on [X](/post/tweet/1940386756454723661) 2025-07-02 12:27:08 UTC XXX followers, 78.9K engagements "DTM vs FM👇 Lots of interest in how Difference Transition Matching (DTM) connects to Flow Matching (FM). Here is a short animation that illustrates Theorem X in our paper: For a very small step size (1/T) DTM converges to an Euler step of FM"  [@shaulneta](/creator/x/shaulneta) on [X](/post/tweet/1945049196605706636) 2025-07-15 09:14:00 UTC XXX followers, 21.7K engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
@shaulneta
"1/n New paper alert 🚀 Excited to introduce () We're replacing short-timestep kernels from Flow Matching/Diffusion with. a generative model🤯 achieving SOTA text-2-image generation @urielsinger @itai_gat @lipmanya" @shaulneta on X 2025-07-02 12:27:08 UTC XXX followers, 78.9K engagements
"DTM vs FM👇 Lots of interest in how Difference Transition Matching (DTM) connects to Flow Matching (FM). Here is a short animation that illustrates Theorem X in our paper: For a very small step size (1/T) DTM converges to an Euler step of FM" @shaulneta on X 2025-07-15 09:14:00 UTC XXX followers, 21.7K engagements
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