Oct. 27, 2022, 2:27 p.m. | Aneesh Tickoo

MarkTechPost www.marktechpost.com

Existing generative models, such as GAN, VAE, and flow-based models, suffer from mode collapse and must rely on surrogate objectives to approximate maximum likelihood training. Diffusion models have overcome many of these constraints and emerged as a new paradigm for generative models, theoretically supported by non-equilibrium thermodynamics and a score-matching network. The most significant advances […]


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