Deep learning-based generative models are an active area of research with numerous advancements in recent years. Most widely, generative models are based on convolutional neural network (CNN) architectures. In signal and image processing tasks, such as superresolution, 3D modeling, and more, implicit neural representations (INRs) can represent an image...

Advances in deep learning have resulted in state-of-the-art performance for a wide variety of computer vision tasks. The large quantity of training data and high computation resources have made convolutional neural networks (CNNs) a common backbone model for many of these tasks, including image classification, object detection, segmentation, unsupervised...

Protecting mobile devices from unauthorized access is becoming more than indispensable these days. In particular, mobile devices such as smartphones and tablets are pervasive and store increasingly highly sensitive information about a user (e.g., contacts, usernames, passwords, emails, browser histories, business secrets, health conditions, etc.)....