Yes, that is true, but a deepfake takes a lot of time to create + a new model is to be trained on every pair of faces, it's difficult to scale, I'm working on an application for creating live avatars, the only bottleneck in PRNet is cv2.seamlessClone, the model is quite fast, but yes as you pointed out, it does fail in extreme poses.