Improving Diffusion Models as an Alternative To GANs, Part 1 – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-16T23:50:38Z http://www.open-lab.net/blog/feed/ Arash Vahdat <![CDATA[Improving Diffusion Models as an Alternative To GANs, Part 1]]> http://www.open-lab.net/blog/?p=46191 2023-06-12T20:52:31Z 2022-04-26T18:50:00Z This is part of a series on how NVIDIA researchers have developed methods to improve and accelerate sampling from diffusion models, a novel and powerful class...]]> This is part of a series on how NVIDIA researchers have developed methods to improve and accelerate sampling from diffusion models, a novel and powerful class...

This is part of a series on how NVIDIA researchers have developed methods to improve and accelerate sampling from diffusion models, a novel and powerful class of generative models. Part 2 covers three new techniques for overcoming the slow sampling challenge in diffusion models. Generative models are a class of machine learning methods that learn a representation of the data they are trained��

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