Stable Diffusion & Friends: High-Resolution Image Synthesis via Two-Stage Generative Models

Join Robin Rombach - one of the co-creators of Stable Diffusion - for a guided tour through the history of generative image models, from GANs to Transformers to latent Diffusion models. Bio: Robin is a research scientist at Stability AI. After studying physics at the University of Heidelberg from 2013-2020, he started a PhD in computer science in the Computer Vision group in Heidelberg in 2020 under the supervision of Björn Ommer and moved to LMU Munich with the research group in 2021. His research focuses on generative deep learning models, in particular text-to-image systems. During his PhD, Robin was instrumental in the development and publication of several now widely used projects, such as VQGAN and Taming Transformers, and Latent Diffusion Models. In collaboration with Stability AI, Robin scaled the latent diffusion approach and published a series of models now known as Stable Diffusion, which have been widely adapted by the community. Twitter: https://twitter.com/robrombach