OpenAI's diffusion models beat GANs at what they do best
OpenAI's diffusion models beat GANs at what they do best May 16, 2021 04:22 EDT with 0 comments Generative Adversarial Networks (GANs) are a class of deep learning models that learn to produce new (or pseudo-real) data. Their advent in 2014 and refinement thereafter have led to them dominating the image generation domain for the past few years and laying the foundations of a new paradigm – deep fakes. Their ability to mimic training data and produce new samples similar to it has gone more or less unmatched. As such, they hold the state-of-the-art (SOTA) in most i...
Source: neowin.net