Deep Learned Face Swapping in Feature Film Production
Jonathan Swartz, Sean Walker · 2022
In visual effects for film, replacement of stunt performers’ facial likeness for their doubled actor counterparts using traditional computer graphics methods is a multi-stage, labor intensive task. Recently, deep learning techniques have made a compelling argument to train neural networks to learn how to take an image of a person’s face and convincingly infer a rendered image of a second person’s face with a previously unseen perspective, pose and lighting environment.