In a nutshell, the face video compression algorithms rely on a source frame of the face, a pipeline to extract the important features from a face image, and a generator to reconstruct the face using the extracted and compressed features on the receiving side. We present a method that generates expressive talking-head videos from a single facial image and a driving video. The video shows the video compression model in action; the first video is the H.264 compression, and the second is the reconstructed video based on a single source image and predicted landmarks for the driving video.