UC Berkeley and Adobe Research have introduced a “universal” detector that can distinguish real images from generated images regardless of what architectures and/or datasets were used for training.
The two-day RE•WORK Deep Learning Summit Boston 2019 gathered more than 60 speakers from top AI labs such as MIT CSAIL, Uber AI Labs, Adobe Research and other experts from the AI healthcare industry who provided high-level deep learning technical discussions and industry application insights.
A research team from the University of Rochester, University of Illinois at Urbana-Champaign and Adobe Research has proposed a foreground-aware image inpainting system to achieve superior results on challenging cases with complex compositions.