OpenAI's diffusion models beat GANs at what they do best
OpenAIs 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 simi...
Alex Nichol Prafulla Dhariwal Generative Adversarial Networks Gans Adaptive Group Normalization Adversarial Networks Models Beat
Source: neowin.net