Face Hallucination

Face hallucination, the task of generating high-resolution facial images from low-resolution inputs, aims to improve image quality and detail for applications like facial recognition and analysis. Current research focuses on developing sophisticated generative adversarial networks (GANs) and other deep learning architectures, often incorporating techniques like cross-modal learning (e.g., using audio cues) and attention mechanisms to enhance realism and preserve identity information, even with limited training data. These advancements address challenges such as blurry images and inconsistent facial motion in videos, leading to improved accuracy and robustness in various applications, including heterogeneous face recognition.