CYPRIEN RUFFINO

In this thesis, we explore the conditioning of Generative Adversarial Networks, that is influencing the generation process in order to control the content of a generated image. We focus on conditioning through auxiliary tasks, that is we explicitly implement additional objective to the generative model to complement the initial goal of learning the data distribution.First, we introduce generative modeling through several examples, and present the Generative Adversarial Networks framework... A highly-customizable Hugo academic resume theme powered by Wowchemy website builder.

Primary location: Normandy France