Deep learning is used to address a wide range of challenging issues including large data
analysis, image processing, object detection, and autonomous control. In the same way …

With the arrival of several face-swapping applications such as FaceApp, SnapChat,
MixBooth, FaceBlender and many more, the authenticity of digital media content is hanging …

Image blending aims to combine multiple images seamlessly. It remains challenging for
existing 2D-based methods, especially when input images are misaligned due to differences …

Fake news is a major threat to democracy (eg, influencing public opinion), and its impact
cannot be understated particularly in our current socially and digitally connected society …

Deepfake is the manipulated video made with a generative deep learning technique such as
Generative Adversarial Networks (GANs) or Auto Encoder that anyone can utilize. Recently …

Applications of generative models such as Generative Adversarial Networks (GANs) have
made their way to social media platforms that children frequently interact with. While GANs …

With the growing reliance on artificial intelligence (AI) for many different applications, the
sharing of code, data, and models is important to ensure the replicability and …

Deepfakes are the synthesized digital media in order to create ultra-realistic fake videos to
trick the spectator. Deep generative algorithms, such as, Generative Adversarial Networks …

The widespread deployment of facial recognition-based biometric systems has made facial
presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey …

The current development in deep learning is witnessing an exponential transition into
automation applications. This automation transition can provide a promising framework for …