Our group work focused in the application of diverse Artificial Intelligence methods to solve a variate of problems. Our approach always involve research. Also, we incorporate state of the art techniques. The next section contains some demos of our research.
In this project, we implemented a model, which learns to drive in a race game.
In this project, we apply a generative model to translate from human faces to anime faces and vice versa. The main idea is having one model to learn a set of features from a X domain. Then we have other set of models to learn a Y domain. Using a cycle model, we are able to learn a map from the X domain to Y and from Y to X.
Generative Networks in anime characters