Generating Facial Expressions with Deep Belief Nets
Mati Joshua, E. Geoffrey, Rocksel Andry V. Javier, Adam K. · 2008
In this chapter we showed that it is possible to train a deep belief net with multiple layers of features to function as an animation system capable of converting high-level descriptions of facial attributes into realistic face images. By specifying particular labels to the DBN, we were able to generate realistic faces displaying specific identities and facial actions. In addition, the DBN could generalize from the associations it learned during training to synthesize novel combinations of identities and facial actions. Thus, like the human brain,