Finding Facial Forgery Artifacts with Parts-Based Detectors
Finding Facial Forgery Artifacts with Parts-Based Detectors
Manipulated videos, especially those where the identity of an individual has been modified using deep neural networks, are becoming an increasingly relevant threat in the modern day. In this paper, we seek to develop a generalizable, explainable solution to detecting these manipulated videos. To achieve this, we design a series …