AI-synthesized face-swapping videos, commonly known as DeepFakes, is an emerging
problem threatening the trustworthiness of online information. The need to develop and …

We propose an efficient framework, called Simple Swap (SimSwap), aiming for generalized
and high fidelity face swapping. In contrast to previous approaches that either lack the ability …

Deep learning networks have recently been shown to outperform other segmentation
methods on various public, medical-image challenge datasets, particularly on metrics …

In this work, we study various existing benchmarks for deepfake detection researches. In
particular, we examine a novel two-stage face swapping algorithm, called FaceShifter, for …

In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

Recent research has demonstrated that lip-based speaker authentication systems can not
only achieve good authentication performance but also guarantee liveness. However, with …

Despite the recent success of face image generation with GANs, conditional hair editing
remains challenging due to the under-explored complexity of its geometry and appearance …

Relighting is an essential step in realistically transferring objects from a captured image into
another environment. For example, authentic telepresence in Augmented Reality requires …

Face segmentation represents an active area of research within the bio-metric community in
particular and the computer vision community in general. Over the last two decades …

The tremendous success of deep learning for imaging applications has resulted in
numerous beneficial advances. Unfortunately, this success has also been a catalyst for …